Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors | Paper Citation Record

Observation a7c0e218-5f93-4024-b100-9e36c8c38a54 · outbound

This paper cites Affordances from human videos as a versatile representation for robotics.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Affordances from human videos as a versatile representation for robotics

Reference 1

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Observation 4c29c85b-4ec6-40d7-881c-504cbe857ef6 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

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Observation 54c71364-bed4-4665-a754-b55031e7a989 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Do as i can, not as i say: Grounding language in robotic affordances

Reference 3

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Observation 41fd3939-d19c-43e9-be94-f447893a45a9 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Emerging properties in self-supervised vision transformers

Reference 4

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Observation 3a4e260f-7f9b-4e77-95c4-635d41025f14 · outbound

This paper cites Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.083244Z

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Observation 6fa9e365-406c-408b-bc14-b258653782af · outbound

This paper cites WorldAfford: Affordance Grounding based on Natural Language Instructions.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors WorldAfford: Affordance Grounding based on Natural Language Instructions

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:10.569183Z

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Observation 24883ee1-9f99-441a-a942-953bea94d82a · outbound

This paper cites Affordance grounding from demonstration video to target image.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Affordance grounding from demonstration video to target image

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.335010Z

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Observation 6414bd5c-157a-4aca-b147-8fc5ff48cd5e · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.467864Z

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Observation 72fdbc11-503d-4e99-a2fb-fbeaa8f92927 · outbound

This paper cites Towards label-free scene understanding by vision foundation models.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Towards label-free scene understanding by vision foundation models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.631612Z

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Observation e54fe254-4dc3-4ef9-801f-c72e40727155 · outbound

This paper cites Segment anything model ( SAM ) enhances pseudo-labels for weakly supervised semantic segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Segment anything model ( SAM ) enhances pseudo-labels for weakly supervised semantic segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.774660Z

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Observation a0b6eccd-e6fb-4e07-8be6-6e4a9d5570bf · outbound

This paper cites Sam-adapter: Adapting segment anything in underperformed scenes.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Sam-adapter: Adapting segment anything in underperformed scenes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.860803Z

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Observation 1d3041a6-9c35-4cc2-96de-215e6774e9a8 · outbound

This paper cites Context autoencoder for self-supervised representation learning.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Context autoencoder for self-supervised representation learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:59.949393Z

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Observation 3863307e-92aa-4d6b-9f1b-5b2fe0314fe9 · outbound

This paper cites Cerberus transformer: Joint semantic, affordance and attribute parsing.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Cerberus transformer: Joint semantic, affordance and attribute parsing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.706501Z

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Observation 84c2303c-7ce2-4d1d-848b-88f6a7d4c08a · outbound

This paper cites Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:10.336014Z

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Observation 85e1f16d-ccc8-4389-9290-9e3f0f7483a8 · outbound

This paper cites Ganhand: Predicting human grasp affordances in multi-object scenes.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Ganhand: Predicting human grasp affordances in multi-object scenes

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.446623Z

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Observation 014daa32-368d-4324-83a7-fdfd1a58a99c · outbound

This paper cites What does clip know about peeling a banana? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.\ 2238--2247, 2024.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors What does clip know about peeling a banana? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.\ 2238--2247, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.283165Z

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Observation 35256fd2-b3fe-436a-a01b-e0aadd21891d · outbound

This paper cites Scenefun3d: Fine-grained functionality and affordance understanding in 3d scenes.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Scenefun3d: Fine-grained functionality and affordance understanding in 3d scenes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:23.069678Z

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Observation 96426b1f-ecf8-49c7-9ab3-897d4b560f7a · outbound

This paper cites 3d affordancenet: A benchmark for visual object affordance understanding.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors 3d affordancenet: A benchmark for visual object affordance understanding

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.799870Z

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Observation 34629281-66a0-4bac-9192-c4b77af02d36 · outbound

This paper cites Affordancenet: An end-to-end deep learning approach for object affordance detection.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Affordancenet: An end-to-end deep learning approach for object affordance detection

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T12:40:10.111782Z

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Observation 20668186-3c18-4d5f-b68e-0239ea2171e0 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:00.664053Z

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Observation 2275f72b-5d30-4ba1-a202-35cd24ea3d78 · outbound

This paper cites Demo2vec: Reasoning object affordances from online videos.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Demo2vec: Reasoning object affordances from online videos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.564203Z

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Observation 891d7902-be97-4d52-9214-6f796a72324c · outbound

This paper cites The theory of affordances.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors The theory of affordances

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.403653Z

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Observation 26496ca4-bbb0-44e8-a990-25ada9327275 · outbound

This paper cites Handal: A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Handal: A dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.273639Z

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Observation 42bfeff1-c686-4451-b5d6-c398199ec13e · outbound

This paper cites One-shot transfer of affordance regions? affcorrs! In Conference on Robot Learning, pp.\ 550--560.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors One-shot transfer of affordance regions? affcorrs! In Conference on Robot Learning, pp.\ 550--560

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:22.174194Z

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Observation cd1d26f9-aff3-46ea-a960-eb96265de086 · outbound

This paper cites ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:01.059085Z

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Observation 5ef4275e-0ee5-4b8e-812e-b84f14bc72ca · outbound

This paper cites Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:01.149654Z

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Observation bbd10119-79f9-4772-a7fa-5764a56d988e · outbound

This paper cites Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:01.282620Z

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Observation 2ebdb078-0f37-4770-be77-a0087f0b8fbd · outbound

This paper cites Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:09.681582Z

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Observation bee773b5-ddf8-41f9-9f2a-77dc0b074318 · outbound

This paper cites Segment anything.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Segment anything

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:01.520365Z

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Observation 6f587f35-1a1f-40f0-b364-370274f4d470 · outbound

This paper cites From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.984852Z

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Observation cfad5b98-478a-4db1-9fe9-83dd3100fd99 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Lisa: Reasoning segmentation via large language model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:01.769181Z

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Observation 6788e2c4-fbf9-4d46-b19a-bd33596402db · outbound

This paper cites Locate: Localize and transfer object parts for weakly supervised affordance grounding.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Locate: Localize and transfer object parts for weakly supervised affordance grounding

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.693558Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4eb7bd67-f1e4-467e-b49b-33ac16ac3341 · outbound

This paper cites One-shot open affordance learning with foundation models.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors One-shot open affordance learning with foundation models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.469335Z

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Observation 710ccacd-23d6-4b56-ab73-d5a348de753e · outbound

This paper cites Partglee: A foundation model for recognizing and parsing any objects.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Partglee: A foundation model for recognizing and parsing any objects

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.323706Z

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Observation 7595b354-9cba-4dce-bb15-98a471e17157 · outbound

This paper cites Manipllm: Embodied multimodal large language model for object-centric robotic manipulation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Manipllm: Embodied multimodal large language model for object-centric robotic manipulation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.160617Z

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Observation 3d023b14-a056-44e1-a44d-fcd0a555bd62 · outbound

This paper cites Maal: Multimodality-aware autoencoder-based affordance learning for 3d articulated objects.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Maal: Multimodality-aware autoencoder-based affordance learning for 3d articulated objects

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:21.039420Z

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Observation 70ac3370-cbd8-40bc-a327-d05685327f37 · outbound

This paper cites Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:20.851215Z

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Observation 422c9c17-756c-489e-8db6-6e31fb7489c4 · outbound

This paper cites Visual instruction tuning.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Visual instruction tuning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:02.689102Z

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Observation fd55472f-097a-4c58-94ba-c24f50dc98e1 · outbound

This paper cites Joint hand motion and interaction hotspots prediction from egocentric videos.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Joint hand motion and interaction hotspots prediction from egocentric videos

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:20.615209Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3dcd412a-23ef-4d4a-8e61-a7f796194e5c · outbound

This paper cites Learning to segment affordances.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Learning to segment affordances

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:20.433845Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 179f91b4-e7ef-4bf7-8a35-274e93bd0b06 · outbound

This paper cites One-shot affordance detection.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors One-shot affordance detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:20.153480Z

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Observation 47b32159-1bbe-4797-a01d-ea49d0674d6a · outbound

This paper cites Learning affordance grounding from exocentric images.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Learning affordance grounding from exocentric images

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:19.884599Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f743081-263c-4741-8e08-add1bef3a736 · outbound

This paper cites Grounded affordance from exocentric view.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Grounded affordance from exocentric view

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:19.653175Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e30c6ca5-5711-4896-a569-cd8edd72eb0c · outbound

This paper cites Leverage interactive affinity for affordance learning.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Leverage interactive affinity for affordance learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:19.405025Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee4802ce-660e-43a6-b184-8dec988862f6 · outbound

This paper cites Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:09.387770Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfe8f53f-6ffb-41da-a6ff-0028d949ec8f · outbound

This paper cites Simple open-vocabulary object detection.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Simple open-vocabulary object detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:19.122979Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 410d51cb-d2fc-4136-82f8-ffa3402add5c · outbound

This paper cites Where2act: From pixels to actions for articulated 3d objects.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Where2act: From pixels to actions for articulated 3d objects

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:18.848923Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fef166e7-211a-449d-bce0-1044ee782ead · outbound

This paper cites Bayesian deep learning for affordance segmentation in images.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Bayesian deep learning for affordance segmentation in images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:18.598219Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41792084-920b-415b-b4f0-e44a0afc7deb · outbound

This paper cites Affordance detection of tool parts from geometric features.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Affordance detection of tool parts from geometric features

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:18.356687Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78b738a6-9f69-4a9b-a841-e2674adec648 · outbound

This paper cites Learning affordance landscapes for interaction exploration in 3d environments.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Learning affordance landscapes for interaction exploration in 3d environments

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:18.102947Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7eca54f-1673-443c-91bc-fe3077749b7e · outbound

This paper cites Grounded human-object interaction hotspots from video.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Grounded human-object interaction hotspots from video

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:17.865001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b8b06b52-4789-4fac-b86d-7e5cc80fee9b · outbound

This paper cites Detecting object affordances with convolutional neural networks.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Detecting object affordances with convolutional neural networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:17.583878Z

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Observation ef0eaf73-aa9e-475b-a22c-25f4100878a4 · outbound

This paper cites Object-based affordances detection with convolutional neural networks and dense conditional random fields.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Object-based affordances detection with convolutional neural networks and dense conditional random fields

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:17.307366Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a67d3041-9dbf-4c3a-b49e-b32bec102184 · outbound

This paper cites Open-vocabulary affordance detection in 3d point clouds.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Open-vocabulary affordance detection in 3d point clouds

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:17.038694Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 153f1044-25ca-4da6-b736-13159a9c4361 · outbound

This paper cites an unresolved cited work.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:16.754245Z

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Observation ba07822e-9f84-455a-9310-8b708404ffd6 · outbound

This paper cites Peters, Asha Iyer, Laurent Itti, and Christof Koch.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Peters, Asha Iyer, Laurent Itti, and Christof Koch

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:04.986105Z

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Observation 72d2fd7b-7e4e-41ea-8b63-5a99974288df · outbound

This paper cites Understanding 3d object interaction from a single image.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Understanding 3d object interaction from a single image

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:16.476731Z

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Observation bd64bdad-c273-4e2d-a93c-8b13d6b5c627 · outbound

This paper cites Affordancellm: Grounding affordance from vision language models.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Affordancellm: Grounding affordance from vision language models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:16.243221Z

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Observation 46c697ac-8c9d-45bd-ba32-d5fcf1b8d320 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Learning transferable visual models from natural language supervision

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:05.283153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c43c8413-11b9-412c-bf53-3fd26e7d4cb9 · outbound

This paper cites Strategies to leverage foundational model knowledge in object affordance grounding.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Strategies to leverage foundational model knowledge in object affordance grounding

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:15.972718Z

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Observation 80606f6a-34d0-4a11-a1d8-6c38acf80cf7 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:05.432045Z

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Observation 90b34370-8fca-4182-a258-359bc75e2302 · outbound

This paper cites A multi-scale cnn for affordance segmentation in rgb images.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors A multi-scale cnn for affordance segmentation in rgb images

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:15.823081Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 47684d9e-1263-468c-889a-90e5116a8710 · outbound

This paper cites Weakly supervised affordance detection.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Weakly supervised affordance detection

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:15.677731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eefa128f-e20e-47dc-9e0c-d0789c2b9aa6 · outbound

This paper cites Hierarchical transformer for visual affordance understanding using a large-scale dataset.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Hierarchical transformer for visual affordance understanding using a large-scale dataset

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:15.509801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 13fee644-6435-4a36-a952-7c3790740b89 · outbound

This paper cites Grounded segment anything: From objects to parts.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Grounded segment anything: From objects to parts

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:15.242780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ecc65b7-1ec6-430d-84bc-a2b175a79daa · outbound

This paper cites Going denser with open-vocabulary part segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Going denser with open-vocabulary part segmentation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:14.937789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2c32a8f-34cd-4489-84d4-6d462c0e2b69 · outbound

This paper cites An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:06.101120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ffcee7b-f2b3-48fe-8729-82723016a37a · outbound

This paper cites Oval-prompt: Open-vocabulary affordance localization for robot manipulation through llm affordance-grounding.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Oval-prompt: Open-vocabulary affordance localization for robot manipulation through llm affordance-grounding

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:14.646354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 008849a0-a536-481a-8b84-c9d725639604 · outbound

This paper cites An interactive navigation method with effect-oriented affordance.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors An interactive navigation method with effect-oriented affordance

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:14.298271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3270b88-69b1-49f4-9fe4-13da1d328f37 · outbound

This paper cites Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Adaafford: Learning to adapt manipulation affordance for 3d articulated objects via few-shot interactions

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:14.079223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cb41983f-b02d-47c2-8307-4939a7c1cc2c · outbound

This paper cites Move as you say interact as you can: Language-guided human motion generation with scene affordance.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Move as you say interact as you can: Language-guided human motion generation with scene affordance

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:13.807872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e809f454-e1f8-4476-8119-72b6288edc13 · outbound

This paper cites VAT -mart: Learning visual action trajectory proposals for manipulating 3d ART iculated objects.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors VAT -mart: Learning visual action trajectory proposals for manipulating 3d ART iculated objects

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:13.549855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edccc4b3-5af1-43f9-9d00-66bf27b5feaf · outbound

This paper cites Clims: Cross language image matching for weakly supervised semantic segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Clims: Cross language image matching for weakly supervised semantic segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:13.264343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c55eeef7-738e-4b25-a534-933d4125581e · outbound

This paper cites Learning multi-modal class-specific tokens for weakly supervised dense object localization.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Learning multi-modal class-specific tokens for weakly supervised dense object localization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:12.989791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e24ed98d-4b73-4cdc-9e3b-af221917dbe3 · outbound

This paper cites Weakly supervised multimodal affordance grounding for egocentric images.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Weakly supervised multimodal affordance grounding for egocentric images

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:12.704871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bc74989-6e5a-4682-8522-7325a6014e3f · outbound

This paper cites Foundation model assisted weakly supervised semantic segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Foundation model assisted weakly supervised semantic segmentation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:12.519261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 986bc182-1234-4848-8d35-a93d5ad68da6 · outbound

This paper cites Grounding 3d object affordance from 2d interactions in images.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Grounding 3d object affordance from 2d interactions in images

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:12.328056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 71b4c90c-7283-4cf6-b1e8-5786607a8430 · outbound

This paper cites Lemon: Learning 3d human-object interaction relation from 2d images.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Lemon: Learning 3d human-object interaction relation from 2d images

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:12.079748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 98e6064a-e0bc-47ab-8918-28534bca74ff · outbound

This paper cites Affordance diffusion: Synthesizing hand-object interactions.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Affordance diffusion: Synthesizing hand-object interactions

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:11.855685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b7423ad-eb73-4b59-b64b-988715b42e59 · outbound

This paper cites Fine-grained affordance annotation for egocentric hand-object interaction videos.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Fine-grained affordance annotation for egocentric hand-object interaction videos

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:11.591902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04e330a6-2d92-4063-a4a8-de379f6edd49 · outbound

This paper cites Frozen clip: A strong backbone for weakly supervised semantic segmentation.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Frozen clip: A strong backbone for weakly supervised semantic segmentation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:11.373593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c94f27f-6d38-4b28-b4cb-53447e6f1983 · outbound

This paper cites Self-Explainable Affordance Learning with Embodied Caption.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Self-Explainable Affordance Learning with Embodied Caption

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.111870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2358a2d-4b08-4aaf-8c97-ea814a00849f · outbound

This paper cites Fast Segment Anything.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Fast Segment Anything

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.272223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c949da0-6c61-4c7c-9974-9d2e1c31afbf · outbound

This paper cites Learning deep features for discriminative localization.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Learning deep features for discriminative localization

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:11.092086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e50204c-b588-4d14-9aa5-8d9d2964e33b · outbound

This paper cites write newline.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors write newline

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.592657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29648570-a647-4f53-870f-7fde5ef1d85f · outbound

This paper cites @esa (Ref.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors @esa (Ref

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.714425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73de448-65a6-479e-855e-4d46cc9421d7 · outbound

This paper cites an unresolved cited work.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:08.887600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7af00ab-6d90-4f37-8ee9-9dba93b48877 · outbound

This paper cites 2yJ+q/0 Q(hAz lC6B wo^ n;e=ad E L D!ԝV.

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors 2yJ+q/0 Q(hAz lC6B wo^ n;e=ad E L D!ԝV

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:10.818633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Coverage vector

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Outbound references

Pith citing papers