Stars
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation, BMVC 2022
[IJCV 2022] Bridging Composite and Real: Towards End-to-end Deep Image Matting
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Implementation of the DeepVesselNet deep learning network
Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
Code for "Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU", EMNLP 2021
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Accelerating T2t-ViT by 1.6-3.6x.
Google Research
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
End-to-end Heart Rate Estimation from Face via Spatial-temporal Representation. A replication of the RhythmNet model.
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
A PyTorch Implementation of Federated Learning https://doi.org/10.5281/zenodo.4321561
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth, in ICCV 2021 (oral)
A heart rate estimation approach to automatically search a lightweight network that can achieve even higher accuracy than a complex network while reducing the computational cost.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
AI education materials for Chinese students, teachers and IT professionals.
Disentangled Non-Local Neural Networks
[NeurIPS 2017] [ICML 2019] Code for complementary-label learning
OpenMMLab Self-Supervised Learning Toolbox and Benchmark