Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch | Paper Citation Record

Observation 61fb6637-61cf-462b-bd4c-009288a81abf · outbound

This paper cites Decore: Deep compression with reinforcement learning.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Decore: Deep compression with reinforcement learning

Reference 1

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Observation 4c9004ef-7640-41f7-abe0-1c75fcb7fdcd · outbound

This paper cites CLIP for All Things Zero- Shot Sketch-Based Image Retrieval, Fine-Grained or Not.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch CLIP for All Things Zero- Shot Sketch-Based Image Retrieval, Fine-Grained or Not

Reference 2

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Observation f4d9913a-473d-4bda-a11e-2f0f85c55e2a · outbound

This paper cites Do deep nets really need to be deep? NeurIPS, 2014.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Do deep nets really need to be deep? NeurIPS, 2014

Reference 3

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Observation 76af6a9e-953c-4f67-8edd-abe52e4dc7aa · outbound

This paper cites Label Refinery: Improving ImageNet Classification through Label Progression.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Label Refinery: Improving ImageNet Classification through Label Progression

Reference 4

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This paper cites Pixelor: A competitive sketching ai agent.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Pixelor: A competitive sketching ai agent

Reference 5

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Observation 6b8f934b-8f9c-4c2d-959c-8d7cf1d18f75 · outbound

This paper cites Sketch less for more: On-the-fly fine-grained sketch based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Sketch less for more: On-the-fly fine-grained sketch based image retrieval

Reference 6

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Observation 39fb5aeb-71e5-49e1-8fcc-bf238d5dffd0 · outbound

This paper cites More photos are all you need: Semi-supervised learning for fine- grained sketch based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch More photos are all you need: Semi-supervised learning for fine- grained sketch based image retrieval

Reference 7

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Observation 9bb2f67f-ceb0-4a59-b1af-5d8379bd2be5 · outbound

This paper cites Vectorization and rasterization: Self-supervised learning for sketch and handwriting.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Vectorization and rasterization: Self-supervised learning for sketch and handwriting

Reference 8

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Observation 8621d240-59d4-4e18-b3b6-9e03e80422d2 · outbound

This paper cites Sketching without worrying: Noise-tolerant sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Sketching without worrying: Noise-tolerant sketch-based image retrieval

Reference 9

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Observation 742eeabd-220f-4d56-90c5-a44a89c2ca8e · outbound

This paper cites Sketch2Saliency: Learning to Detect Salient Ob- jects from Human Drawings.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Sketch2Saliency: Learning to Detect Salient Ob- jects from Human Drawings

Reference 10

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Observation fab17c71-d44c-4d56-beb6-4bf45e0f8554 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch A simple framework for contrastive learning of visual representations

Reference 11

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Observation e681c662-aca8-4d5e-a476-8931a705ab9a · outbound

This paper cites Mobile- former: Bridging mobilenet and transformer.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Mobile- former: Bridging mobilenet and transformer

Reference 12

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Observation ec041dfe-bdae-485b-8acc-ab96045fcb1c · outbound

This paper cites Dynamic low-resolution distillation for cost- efficient end-to-end text spotting.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Dynamic low-resolution distillation for cost- efficient end-to-end text spotting

Reference 13

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Observation 4e70c51e-f54d-4b43-a772-3c36e5cf5fae · outbound

This paper cites Partially does it: Towards scene-level fg-sbir with partial input.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Partially does it: Towards scene-level fg-sbir with partial input

Reference 14

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This paper cites Partially does it: Towards scene-level fg-sbir with partial input.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Partially does it: Towards scene-level fg-sbir with partial input

Reference 15

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Observation cc5c9c71-b36f-42f9-9785-3e659f4e8d92 · outbound

This paper cites Fs- coco: Towards understanding of freehand sketches of com- mon objects in context.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Fs- coco: Towards understanding of freehand sketches of com- mon objects in context

Reference 16

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Observation f5b4c76e-36fb-457a-8eb2-7d0fa95232f1 · outbound

This paper cites Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting

Reference 17

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Observation d6985629-fce6-4f50-954d-1c17f8b82176 · outbound

This paper cites Livesketch: Query perturbations for guided sketch-based visual search.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Livesketch: Query perturbations for guided sketch-based visual search

Reference 18

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Observation f014ee93-1d7c-4d91-8209-41f9b1dc86cc · outbound

This paper cites Binaryconnect: Training deep neural networks with binary weights during propagations.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Binaryconnect: Training deep neural networks with binary weights during propagations

Reference 19

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Observation fb4bcd3c-5385-4e77-9188-a64356413720 · outbound

This paper cites Doodle to search: Practical zero-shot sketch- based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Doodle to search: Practical zero-shot sketch- based image retrieval

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:52.325920Z

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Observation 9198f97f-48d2-4bf6-9054-118328707f68 · outbound

This paper cites Semantically tied paired cycle consistency for zero-shot sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Semantically tied paired cycle consistency for zero-shot sketch-based image retrieval

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:52.186251Z

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This paper cites Deep learning with limited numerical precision.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep learning with limited numerical precision

Reference 22

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Observation 7700f746-065f-4d49-9187-216f99268031 · outbound

This paper cites A neural representation of sketch drawings.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch A neural representation of sketch drawings

Reference 23

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Observation 86a6607c-6219-46f7-b9f7-cbcbaf5359e8 · outbound

This paper cites Deep com- pression: Compressing deep neural networks with pruning, trained quantization and huffman coding.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep com- pression: Compressing deep neural networks with pruning, trained quantization and huffman coding

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:51.587609Z

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This paper cites Deep residual learning for image recognition.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep residual learning for image recognition

Reference 25

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Observation 3ea24f2f-e20e-4d99-b53c-f9a984b3f8fa · outbound

This paper cites Distilling the knowledge in a neural network.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Distilling the knowledge in a neural network

Reference 26

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Observation 27f459e1-b4f6-4cf3-8390-f85827148d57 · outbound

This paper cites Densely connected convolutional net- works.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Densely connected convolutional net- works

Reference 27

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Observation da58db63-ab38-4892-9a1b-9fdbae3c25a4 · outbound

This paper cites Robust pairwise learning with huber loss.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Robust pairwise learning with huber loss

Reference 28

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Observation 7cb47b7d-bd18-4e77-9f1d-ca5111e73b38 · outbound

This paper cites Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 29

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This paper cites Reinforcement learning: A survey.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Reinforcement learning: A survey

Reference 30

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This paper cites Very deep convolu- tional networks for large-scale image recognition.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Very deep convolu- tional networks for large-scale image recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:50.880370Z

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Observation 19ea2182-12d0-405d-975d-886b3a0b8804 · outbound

This paper cites How to handle sketch-abstraction in sketch-based image retrieval? In CVPR, 2024.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch How to handle sketch-abstraction in sketch-based image retrieval? In CVPR, 2024

Reference 32

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Observation 9271e531-cfd3-4d16-9ce9-efae684cdd7b · outbound

This paper cites A2- rl: Aesthetics aware reinforcement learning for image crop- ping.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch A2- rl: Aesthetics aware reinforcement learning for image crop- ping

Reference 33

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Observation 4fe6f9fb-bb76-422e-8427-fb600753985e · outbound

This paper cites Learning to learn cropping models for different aspect ratio require- ments.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Learning to learn cropping models for different aspect ratio require- ments

Reference 34

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Observation ceff2a71-2f29-4abe-bfff-29ac2aa4f3e5 · outbound

This paper cites Deep variation- structured reinforcement learning for visual relationship and attribute detection.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep variation- structured reinforcement learning for visual relationship and attribute detection

Reference 35

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This paper cites Fixed point quantization of deep convolutional networks.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Fixed point quantization of deep convolutional networks

Reference 36

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Observation 97d755e6-bfc0-40b0-a4f6-a0de8c78529c · outbound

This paper cites Sketch-bert: Learning sketch bidirectional encoder rep- resentation from transformers by self-supervised learning of sketch gestalt.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Sketch-bert: Learning sketch bidirectional encoder rep- resentation from transformers by self-supervised learning of sketch gestalt

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:50.033417Z

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This paper cites Deep sketch hashing: Fast free-hand sketch-based im- age retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep sketch hashing: Fast free-hand sketch-based im- age retrieval

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Observation 55d4e1f0-ced0-49f1-9995-0b81e6ff3281 · outbound

This paper cites Efficientvit: Memory efficient vision transformer with cascaded group attention.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Efficientvit: Memory efficient vision transformer with cascaded group attention

Reference 39

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This paper cites Thinet: A filter level pruning method for deep neural network compression.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Thinet: A filter level pruning method for deep neural network compression

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This paper cites Pruning Convolutional Neural Networks for Resource Efficient Inference.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Pruning Convolutional Neural Networks for Resource Efficient Inference

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This paper cites Learning deep sketch abstraction.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Learning deep sketch abstraction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:49.125740Z

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Observation cff6824a-a000-4039-b9c7-9bfabfbc8ab1 · outbound

This paper cites Goal-driven sequential data abstraction.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Goal-driven sequential data abstraction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:48.656674Z

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Observation 1bdc30ef-e34e-4c3f-8597-07a4ba0799bc · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch DINOv2: Learning Robust Visual Features without Supervision

Reference 44

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This paper cites Cross-domain generative learning for fine- grained sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Cross-domain generative learning for fine- grained sketch-based image retrieval

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:48.460738Z

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This paper cites Gener- alising fine-grained sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Gener- alising fine-grained sketch-based image retrieval

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:48.280017Z

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Observation d71f6598-cd88-4fb5-ac37-9715585cacdf · outbound

This paper cites Solving mixed-modal jigsaw puz- zle for fine-grained sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Solving mixed-modal jigsaw puz- zle for fine-grained sketch-based image retrieval

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:48.106815Z

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Observation 08ba70da-8e81-403d-8fed-7adfe3aff56f · outbound

This paper cites Learning deep rep- resentations with probabilistic knowledge transfer.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Learning deep rep- resentations with probabilistic knowledge transfer

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:47.913696Z

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Observation d2cae4b8-17d3-418d-a578-b112d18deac0 · outbound

This paper cites SceneTrilogy: On Human Scene-Sketch and its Com- plementarity with Photo and Text.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch SceneTrilogy: On Human Scene-Sketch and its Com- plementarity with Photo and Text

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:47.741721Z

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Observation 9485163a-31ad-4cc4-a854-b0171d99476c · outbound

This paper cites What Can Human Sketches Do for Object Detection? In CVPR, 2023.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch What Can Human Sketches Do for Object Detection? In CVPR, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:47.543021Z

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Observation a5d9c73f-cce8-429d-b730-353fac4b59cd · outbound

This paper cites Fitnets: Hints for thin deep nets.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Fitnets: Hints for thin deep nets

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:47.333326Z

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Observation de9a4849-1284-4bb4-be41-5b3b9d239197 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Imagenet large scale visual recognition challenge

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:46.944250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d9663d9-fb87-4fd6-b679-1898977ace31 · outbound

This paper cites Cross-modal hierarchical modelling forfine-grained sketch based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Cross-modal hierarchical modelling forfine-grained sketch based image retrieval

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:46.640462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 918b04da-ee13-4b3b-81ba-a0111b61f702 · outbound

This paper cites Stylemeup: Towards style-agnostic sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Stylemeup: Towards style-agnostic sketch-based image retrieval

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:46.455554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a03df94d-f60d-4014-aa57-5518a118b87b · outbound

This paper cites Sketch3t: Test-time training for zero-shot sbir.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Sketch3t: Test-time training for zero-shot sbir

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T12:47:38.862481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c4cd0f6-cb69-4dcd-88a2-acc3e8c22149 · outbound

This paper cites Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:46.288869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dbd1bdc1-4e74-498d-8b1d-4e9728902654 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:46.100444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e280076-b58b-4225-84fa-92b88f420af0 · outbound

This paper cites The sketchy database: learning to retrieve badly drawn bunnies.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch The sketchy database: learning to retrieve badly drawn bunnies

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:45.968411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b73a145-cdf3-4f61-9702-dfa9f1ebb259 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Proximal Policy Optimization Algorithms

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:47:39.247458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acbe9c2-e187-4b53-b573-52010add8695 · outbound

This paper cites Very deep convo- lutional networks for large-scale image recognition.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Very deep convo- lutional networks for large-scale image recognition

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T12:47:39.349998Z

Source-reported events for the cited work

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Observation 667f0e29-72d1-4e1d-a149-d7c4121ead21 · outbound

This paper cites Fine-grained image retrieval: the text/sketch input dilemma.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Fine-grained image retrieval: the text/sketch input dilemma

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:45.728377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 827a29eb-3b4c-4fd9-8b72-c260aff8fa63 · outbound

This paper cites Deep spatial-semantic attention for fine- grained sketch-based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep spatial-semantic attention for fine- grained sketch-based image retrieval

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:45.591073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 767cab3c-02e7-451e-85b2-fe482153bd29 · outbound

This paper cites Picture that Sketch: Photorealistic Image Generation from Abstract Sketches.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:45.424649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23702eb3-e26a-406d-b5c7-08023800e394 · outbound

This paper cites Policy gradient methods for reinforcement learning with function approximation.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Policy gradient methods for reinforcement learning with function approximation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:45.275894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b7cd4fb-8c90-4445-8723-ae7921654d93 · outbound

This paper cites Learning to resize im- ages for computer vision tasks.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Learning to resize im- ages for computer vision tasks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:45.132747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1de1c4c-8b20-4d99-814d-2d2326c43f63 · outbound

This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Efficientnet: Rethinking model scaling for convolutional neural networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:44.983836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f39b0405-23c9-464f-ad9f-b3b202952a2e · outbound

This paper cites Learning when and where to zoom with deep reinforcement learning.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Learning when and where to zoom with deep reinforcement learning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:44.827038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 919fbb04-6b7c-481e-8bd8-d18b49493951 · outbound

This paper cites White blood cell classification: a comparison be- tween vgg-16 and resnet-50 models.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch White blood cell classification: a comparison be- tween vgg-16 and resnet-50 models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:44.648514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d288b66c-5ffe-428c-8c57-002e3570e9c3 · outbound

This paper cites The douglas- peucker algorithm for line simplification: re-evaluation through visualization.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch The douglas- peucker algorithm for line simplification: re-evaluation through visualization

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:44.472519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7cc7f95-9e2f-4529-a1d2-c47bc3a7107b · outbound

This paper cites Deep reinforced attention regression for partial sketch based image retrieval.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep reinforced attention regression for partial sketch based image retrieval

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:44.293892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d73c68b2-94c8-4288-8340-74e978778b89 · outbound

This paper cites Reinforced cross-modal matching and self- supervised imitation learning for vision-language navigation.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Reinforced cross-modal matching and self- supervised imitation learning for vision-language navigation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:44.096401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23358ca9-ca09-4dff-8550-6bdfde98bb1c · outbound

This paper cites Cnnpack: Packing convolutional neural networks in the frequency domain.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Cnnpack: Packing convolutional neural networks in the frequency domain

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:43.936195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 93e31d9c-4b2f-4226-95f7-088b19ae2a66 · outbound

This paper cites Glance and focus: a dynamic approach to reducing spatial redundancy in image classification.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Glance and focus: a dynamic approach to reducing spatial redundancy in image classification

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:43.770629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1accfcdc-a840-4c61-b0e1-ba9abc3c707d · outbound

This paper cites Distance met- ric learning for large margin nearest neighbor classification.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Distance met- ric learning for large margin nearest neighbor classification

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:43.557383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4592ea39-bcde-4fdc-8f80-f600e1a1c112 · outbound

This paper cites Multi- graph transformer for free-hand sketch recognition.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Multi- graph transformer for free-hand sketch recognition

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:43.364218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3964cdd-6147-4884-ad80-c560f0b6c7ce · outbound

This paper cites Deep learning for free-hand sketch: A survey.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Deep learning for free-hand sketch: A survey

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:43.142537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5cefbf80-e243-4c08-a1f3-a4ef64ec2a57 · outbound

This paper cites SmartAdapt: Multi-branch object detection framework for videos on mo- biles.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch SmartAdapt: Multi-branch object detection framework for videos on mo- biles

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.977811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83d39d88-5e49-4bb2-a4b4-21b208896ddd · outbound

This paper cites Hospedales.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Hospedales

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.785525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ce7b85c-5576-44b2-b9a5-b91488b9bf3b · outbound

This paper cites Sketch me that shoe.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Sketch me that shoe

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.605889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e4b7aa7-e633-45da-a79e-65c8b48148ef · outbound

This paper cites Paying more at- tention to attention: Improving the performance of convolu- tional neural networks via attention transfer.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Paying more at- tention to attention: Improving the performance of convolu- tional neural networks via attention transfer

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.437650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85b36368-4a36-49d6-b912-5b8133deb429 · outbound

This paper cites DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T12:47:41.641751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b138be87-ef15-4ec8-9b44-3da7598b3b06 · outbound

This paper cites Dynamic resolution net- work.

Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch Dynamic resolution net- work

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:47:42.294181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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