dingmyu / NCP
Learning Versatile Neural Architectures by Propagating Network Codes
☆38Updated 2 years ago
Alternatives and similar repositories for NCP:
Users that are interested in NCP are comparing it to the libraries listed below
- Official Code Release for Container : Context Aggregation Network☆46Updated 3 years ago
- Benchmarking Attention Mechanism in Vision Transformers.☆17Updated 2 years ago
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆56Updated 3 years ago
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆58Updated 3 years ago
- ☆73Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- ☆57Updated 3 years ago
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆22Updated 4 years ago
- Paper List for In-context Learning 🌷☆20Updated 2 years ago
- code base for vision transformers☆36Updated 3 years ago
- [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…☆89Updated last year
- Code for ViTAS_Vision Transformer Architecture Search☆51Updated 3 years ago
- [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators☆40Updated 3 years ago
- ☆73Updated 2 years ago
- [TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Liju…☆20Updated 2 years ago
- Query Learning of Both Thing and Stuff for Panoptic Segmentation-ICIP-2022☆15Updated 2 years ago
- Bag of Instances Aggregation Boosts Self-supervised Distillation (ICLR 2022)☆33Updated 3 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 2 years ago
- A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models☆14Updated 3 years ago
- My daily arxiv reading note☆30Updated 3 years ago
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- [ICLR2024] Exploring Target Representations for Masked Autoencoders☆54Updated last year
- Replication of Pix2Seq with Pretrained Model☆60Updated 3 years ago
- NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021☆38Updated 3 years ago
- We present a framework for training multi-modal deep learning models on unlabelled video data by forcing the network to learn invariances…☆47Updated 3 years ago
- code release of research paper "Exploring Long-Sequence Masked Autoencoders"☆100Updated 2 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆120Updated 3 years ago
- A library of transformer models for computer vision and multi-modality research☆49Updated 3 years ago
- cuda implementation of depthwise conv3d☆22Updated 3 years ago
- [ECCV2022] New benchmark for evaluating pre-trained model; New supervised contrastive learning framework.☆108Updated last year