Research Paper Notes
Here, I will list the notes I make while reading research papers along with the link to the papers themselves.
Note that they are in reverse chronological order of my reading order within each subsection.
For a similar, much larger repository, contributed by my undergrad lab mates, do visit IvLabs' ResearchPaperNotes repository on GitHub.
Note that they are in reverse chronological order of my reading order within each subsection.
For a similar, much larger repository, contributed by my undergrad lab mates, do visit IvLabs' ResearchPaperNotes repository on GitHub.
Semantic Segmentation
Domain Adaptation
Knowledge Distillation
Active Learning
- Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR '20) - [Notes]
- Gated-SCNN: Gated Shape CNNs for Semantic Segmentation (ICCV '19) - [Notes]
- ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation - [Notes]
- W-Net: A Deep Model for Fully Unsupervised Image Segmentation - [Notes]
- Understanding Deep Learning Techniques for Image Segmentation - [Notes]
- Recent progress in semantic image segmentation - [Notes]
Domain Adaptation
- Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation (AAAI '21) - [Notes]
- Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR '21) - [Notes]
- Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation (NeurIPS '20) - [Notes]
- Domain Adaptive Semantic Segmentation Using Weak Labels (ECCV '20) - [Notes]
- DACS: Domain Adaptation via Cross-domain Mixed Sampling (WACV '21) - [Notes]
- Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation (CVPR '20) - [Notes]
- Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR '20) - [Notes]
- Unsupervised Domain Adaptation with Residual Transfer Networks (NIPS '16) - [Notes]
- Phase Consistent Ecological Domain Adaptation (CVPR '20) - [Notes]
- FDA: Fourier Domain Adaptation for Semantic Segmentation (CVPR '20) - [Notes]
- Domain Adaptation for Structured Output via Discriminative Patch Representations (ICCV '19) - [Notes]
Knowledge Distillation
- A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning (CVPR '17) - [Notes]
- Paying More Attention to Attention: Improving the performance of CNNs via Attention Transfer (ICLR '17) - [Notes]
- Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model (CVPR '20) - [Notes]
- Data-Free Learning of Student Networks (ICCV '19) - [Notes]
Active Learning
Please feel free to contact me in case you find any mistakes or want to discuss some topic.