| Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation | Jan 1, 2021 | Semantic SegmentationWeakly supervised Semantic Segmentation | CodeCode Available | 1 |
| Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation | Jan 1, 2021 | Instance Segmentationobject-detection | —Unverified | 0 |
| Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation | Jan 1, 2021 | Self-Supervised LearningSemantic Segmentation | CodeCode Available | 0 |
| Energy-constrained Self-training for Unsupervised Domain Adaptation | Jan 1, 2021 | Domain Adaptationimage-classification | —Unverified | 0 |
| Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike? | Jan 1, 2021 | AllImage Segmentation | CodeCode Available | 1 |
| Learning a unified label space | Jan 1, 2021 | Instance SegmentationObject | —Unverified | 0 |
| EMPIRICAL UPPER BOUND IN OBJECT DETECTION | Jan 1, 2021 | Instance SegmentationObject | —Unverified | 0 |
| General Adversarial Defense via Pixel Level and Feature Level Distribution Alignment | Jan 1, 2021 | Adversarial Defenseimage-classification | —Unverified | 0 |
| AggMask: Exploring locally aggregated learning of mask representations for instance segmentation | Jan 1, 2021 | Instance SegmentationSegmentation | CodeCode Available | 1 |
| An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines | Jan 1, 2021 | open-set classificationOpen Set Learning | —Unverified | 0 |
| Contextual Graph Reasoning Networks | Jan 1, 2021 | 2D Human Pose EstimationInstance Segmentation | —Unverified | 0 |
| DJMix: Unsupervised Task-agnostic Augmentation for Improving Robustness | Jan 1, 2021 | Data AugmentationSemantic Segmentation | —Unverified | 0 |
| Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop | Jan 1, 2021 | Autonomous DrivingImage Segmentation | —Unverified | 0 |
| Differentiable Programming for Piecewise Polynomial Functions | Jan 1, 2021 | DenoisingImage Segmentation | —Unverified | 0 |
| Improving the accuracy of neural networks in analog computing-in-memory systems by a generalized quantization method | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Cut out the annotator, keep the cutout: better segmentation with weak supervision | Jan 1, 2021 | Data AugmentationFew-Shot Learning | —Unverified | 0 |
| Conditional Networks | Jan 1, 2021 | image-classificationImage Classification | —Unverified | 0 |
| Ego-Centric Spatial Memory Networks | Jan 1, 2021 | CPUGPU | —Unverified | 0 |
| The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network | Jan 1, 2021 | 3D ClassificationPoint Cloud Classification | —Unverified | 0 |
| On the cost of homogeneous network building blocks and parameter sharing | Jan 1, 2021 | Semantic Segmentation | —Unverified | 0 |
| Recall Loss for Imbalanced Image Classification and Semantic Segmentation | Jan 1, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Pseudo Label-Guided Multi Task Learning for Scene Understanding | Jan 1, 2021 | Depth EstimationMonocular Depth Estimation | —Unverified | 0 |
| Network-Agnostic Knowledge Transfer from Latent Dataset for Medical Image Segmentation | Jan 1, 2021 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
| Collective Robustness Certificates | Jan 1, 2021 | Adversarial RobustnessImage Segmentation | —Unverified | 0 |
| Indirect Supervision to Mitigate Perturbations | Jan 1, 2021 | Image SegmentationMedical Image Segmentation | —Unverified | 0 |
