Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:37:33.642109Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2411.16082.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:37:33.642109Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:33:57.613173Z
A source-named dated measurement, never combined with another source.
Source: cited_works
69 of 69 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0bc25566-e621-417d-8a0d-d4ed88254355 · outbound
Leverage Task Context for Object Affordance Ranking Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Reference 1
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Observation d7b93f9b-9c01-47be-8d4e-b450b90ddda2 · outbound
Leverage Task Context for Object Affordance Ranking Affordances from human videos as a versatile representation for robotics
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Leverage Task Context for Object Affordance Ranking End-to- end object detection with transformers
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Leverage Task Context for Object Affordance Ranking Affordance grounding from demonstration video to target image
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Leverage Task Context for Object Affordance Ranking Learning to act properly: Predicting and explaining affordances from images
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Leverage Task Context for Object Affordance Ranking Advancing saliency ranking with human fixations: Dataset models and benchmarks
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Leverage Task Context for Object Affordance Ranking BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Leverage Task Context for Object Affordance Ranking Affordancenet: An end-to-end deep learning approach for object affordance detection
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Observation ec8db965-0ea7-4d2b-bb40-d60b4c38bfb2 · outbound
Leverage Task Context for Object Affordance Ranking Salient object rank- ing with position-preserved attention
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Leverage Task Context for Object Affordance Ranking Behavior vision suite: Customizable dataset generation via simulation
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Leverage Task Context for Object Affordance Ranking Holistic 3d scene parsing and re- construction from a single rgb image
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Leverage Task Context for Object Affordance Ranking Comparing partitions
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Observation 76b86a21-6dfb-441a-85cd-530e63a9a60f · outbound
Leverage Task Context for Object Affordance Ranking Revisiting salient object detection: Simultaneous detection, ranking, and subitizing of multiple salient objects
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Observation d6cb1866-7de7-4c26-930a-9e7dbc6b1edb · outbound
Leverage Task Context for Object Affordance Ranking Categorical Reparameterization with Gumbel-Softmax
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Observation d38c9292-49da-41af-8992-45b04f9d66b7 · outbound
Leverage Task Context for Object Affordance Ranking Attention and effort, 1973
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Observation 223dccc9-a0e5-4c79-8159-9deb3ca5df1f · outbound
Leverage Task Context for Object Affordance Ranking Mdetr- modulated detection for end-to-end multi-modal understand- ing
Reference 18
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Observation 21d4f265-844a-4202-bade-2c692dfecbb3 · outbound
Leverage Task Context for Object Affordance Ranking Physically grounded spatio-temporal object affordances
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Leverage Task Context for Object Affordance Ranking The making and breaking of camouflage
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Leverage Task Context for Object Affordance Ranking Locate: Localize and transfer object parts for weakly supervised affordance grounding
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Leverage Task Context for Object Affordance Ranking Toist: Task oriented instance segmentation transformer with noun-pronoun distil- lation
Reference 22
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Leverage Task Context for Object Affordance Ranking Modeling Long-Term Memory and Temporal Attention Shifts for Video Salient Object Ranking with a New Benchmark
Reference 23
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Leverage Task Context for Object Affordance Ranking Instance-level relative saliency ranking with graph rea- soning
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Leverage Task Context for Object Affordance Ranking Joint hand motion and interaction hotspots prediction from egocentric videos
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Leverage Task Context for Object Affordance Ranking Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 26
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Observation ddc1ef77-a772-4d4c-a566-cfc9ea5f5ed1 · outbound
Leverage Task Context for Object Affordance Ranking Single-view 3d scene reconstruction and parsing by attribute grammar
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Observation 460e9710-0e89-4c98-ad8c-db3c1d296709 · outbound
Leverage Task Context for Object Affordance Ranking Swin transformer: Hierarchical vision transformer using shifted windows
Reference 28
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Observation 7cf1e09c-1bdc-4de6-b8f2-8c6d7f3d15ab · outbound
Leverage Task Context for Object Affordance Ranking Decoupled Weight Decay Regularization
Reference 29
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Observation 85f83081-2580-4a8e-9573-3f2099622eef · outbound
Leverage Task Context for Object Affordance Ranking Phrase-based affordance detection via cyclic bi- lateral interaction
Reference 30
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Observation e9c1a13f-c516-497c-9278-dcef798a4ab7 · outbound
Leverage Task Context for Object Affordance Ranking One-Shot Affordance Detection
Reference 31
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Observation e593ca52-1160-47a7-a9a8-d61f41aceb2f · outbound
Leverage Task Context for Object Affordance Ranking Learning affordance grounding from exocen- tric images
Reference 32
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Leverage Task Context for Object Affordance Ranking Leverage interactive affinity for affordance learning
Reference 33
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Observation 219804a4-e259-4885-973d-03c0d1be55f8 · outbound
Leverage Task Context for Object Affordance Ranking Simultaneously localize, segment and rank the camouflaged objects
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Leverage Task Context for Object Affordance Ranking Affordance detection of tool parts from ge- ometric features
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Observation 542baa55-689a-4ebb-901b-29b62a05d73d · outbound
Leverage Task Context for Object Affordance Ranking Grounded human-object interaction hotspots from video
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Leverage Task Context for Object Affordance Ranking Learning affor- dance landscapes for interaction exploration in 3d environ- ments
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Leverage Task Context for Object Affordance Ranking Object-based affordances detection with convolutional neural networks and dense conditional random fields
Reference 38
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Observation 8679c199-5ea9-4dd9-9679-feaf802b5237 · outbound
Leverage Task Context for Object Affordance Ranking Functional descriptors for object affordances
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Leverage Task Context for Object Affordance Ranking Hypersor: Context-aware graph hypernetwork for salient object ranking
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Leverage Task Context for Object Affordance Ranking Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Reference 42
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Leverage Task Context for Object Affordance Ranking Generalized in- tersection over union: A metric and a loss for bounding box regression
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Leverage Task Context for Object Affordance Ranking Focal loss for dense ob- ject detection
Reference 44
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Observation 5fe2fd58-d0b4-4e54-86dd-765c9c7543ef · outbound
Leverage Task Context for Object Affordance Ranking A multi-scale cnn for affordance segmentation in rgb images
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Leverage Task Context for Object Affordance Ranking Adaptive binarization for weakly supervised affordance segmentation
Reference 46
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Reference 47
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Leverage Task Context for Object Affordance Ranking Objects365: A large-scale, high-quality dataset for object detection
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Leverage Task Context for Object Affordance Ranking Does augmented reality augment user af- fordance? the effect of technological characteristics on 10 game behaviour
Reference 49
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Leverage Task Context for Object Affordance Ranking Inferring attention shift ranks of objects for image saliency
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Reference 53
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Leverage Task Context for Object Affordance Ranking Going beyond the perception of affordances: Learning how to actualize them through behavioral parameters
Reference 54
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Leverage Task Context for Object Affordance Ranking Visualiz- ing data using t-sne
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Reference 58
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Leverage Task Context for Object Affordance Ranking Recent ad- vances of deep robotic affordance learning: a reinforcement learning perspective
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Leverage Task Context for Object Affordance Ranking EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
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Reference 68
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