Research map / Detection and segmentation / Open-set and few-shot detection
Analysis of Hand Segmentation in the Wild
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Fine-tune RefineNet-Res101 for hand segmentation rather than use the prior hand-segmentation baseline | EgoHands segmentation · EgoHands | mIOU: 55.6% -> 81.4% | Helped |
| Train on EgoYouTubeHands instead of GTEA for cross-dataset transfer | RefineNet hand segmentation · EgoHands and HandOverFace | mIOU: 0.670 vs 0.152; 0.528 vs 0.263 | Helped |
| Train on GTEA rather than EgoYouTubeHands for transfer to EgoHands | RefineNet hand segmentation · EgoHands | mIOU: 0.152 vs 0.670 | Hurt |
| Add CRF refinement to segmentation maps (ablation) | RefineNet hand segmentation · Overall segmentation; GTEA | mIOU: drop of 0.5% | Mixed |
| Add multi-scale evaluation at scales [0.6, 0.8, 1.0] rather than single-scale evaluation (ablation) | RefineNet hand segmentation · Hand segmentation datasets | mIOU | Helped |
| Evaluate on small rather than big hands (ablation) | Dataset-specific RefineNet models · EgoYouTubeHands | mIOU: 0.537 vs 0.867 | Hurt |
| Evaluate on small rather than big hands (ablation) | Dataset-specific RefineNet models · GTEA | mIOU: 0.732 vs 0.894 | Hurt |
| Evaluate on small rather than big hands (ablation) | Dataset-specific RefineNet models · HandOverFace | mIOU: 0.713 vs 0.792 | Hurt |
| Use RefineNet hand maps rather than baseline hand maps for activity classification | EgoHands coarse activity classifier · EgoHands | accuracy: 50.9% -> 64.5% | Helped |
| Add CRF refinement to RefineNet hand maps for coarse activity classification (ablation) | EgoHands coarse activity classifier · EgoHands | accuracy: 64.5% -> 56.2% | Hurt |
| Use fine-level rather than coarse hand maps (ablation) | EgoHands+ fine-level action classifier · EgoHands+ | accuracy | Helped |
| Add manipulated-object maps to hand maps (ablation) | EgoHands+ fine-level action classifier · EgoHands+ | accuracy: 58.6% -> 77.3% | Helped |
Closest papers by meaning
- Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation (CVPR 2020 · similarity 0.91)
- Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning (ICLR 2025 · similarity 0.89)
- SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training (ICLR 2025 · similarity 0.88)
- EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild (CVPR 2025 · similarity 0.87)
- HOIST-Former: Hand-held Objects Identification Segmentation and Tracking in the Wild (CVPR 2024 · similarity 0.87)
- Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data (NeurIPS 2024 · similarity 0.86)
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