andyj1

andyj1's Stars

• yformer/EfficientSAM

  EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

  Language:Jupyter Notebook2.1k2568150

• AberHu/Knowledge-Distillation-Zoo

  Pytorch implementation of various Knowledge Distillation (KD) methods.

  Language:Python1.6k2317265

• mapillary/inplace_abn

  In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

  Language:Python1.3k39230188

• ZwwWayne/K-Net

  [NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

  Language:Python464103345

• lenscloth/RKD

  Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

  Language:Python39082149

• Gradiant/pyodi

  Python Object Detection Insights

  Language:Python1881110616

• hongwang01/RCDNet

  【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network for Single Image Rain Removal

  Language:Python17771219

• lxtGH/Video-K-Net

  [CVPR-2022 (oral)]-Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

  Language:Python1497914

• Jamie725/Multimodal-Object-Detection-via-Probabilistic-Ensembling

  Language:Python14022820

• facebookresearch/meru

  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023

  Language:Python1298713

• haqishen/MFNet-pytorch

  MFNet-pytorch, image semantic segmentation using RGB-Thermal images

  Language:Python11531026

• clovaai/attention-feature-distillation

  Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)

  Language:Python1113221

• WaterScenes/WaterScenes

  Official repository for WaterScenes dataset

  Language:Python1073125

• chen742/PiPa

  Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

  Language:Python8731815

• LeapLabTHU/DAPrompt

  Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687

  Language:Python871611

• GLAMOR-USC/CLiMB

  The Continual Learning in Multimodality Benchmark

  Language:Python58534

• UkcheolShin/CRM_RGBTSeg

  Official implementation of the paper "Complementary Random Masking for RGB-T Semantic Segmentation."

  Language:Python494811

• 1adrianb/video-transformers

  Language:Python48317

• gy65896/FVessel

  [TITS 2023] Dataset-Asynchronous Trajectory Matching-based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

  Language:Python42528

• brdav/cma

  Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation [ICCV 2023]

  Language:Python41444

• deeplearning-wisc/siren

  source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"

  Language:Python32186

• schuy1er/EWF_official

  An official code for "Endpoints Weight Fusion for Class Incremental Semantic Segmentation"

  Language:Python26365

• dimitymiller/openset_detection

  Language:Jupyter Notebook25272

• RYC-98/GRA

  Official codes for GRA (Accepted by ICCV2023)

  Language:Python16120

• ethanlshen/HierNet

  Code for "Are “Hierarchical” Visual Representations Hierarchical?" in NeurIPS Workshop for Symmetry and Geometry in Neural Representations.

  Language:Jupyter Notebook15101

• Therock90421/DA-Pro

  Pytorch implementation of "Learning Domain-Aware Detection Head with Prompt Tuning" (NeurIPS 2023)

  Language:Python141

• kami93/kcenter_video

  Language:Python12110

• uta-smile/ASSUDA

  Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation (ICCV 2021; Oral)

  Language:Python12751

• aabbas90/ADDA-PyTorch

  Implementation of Adverserial Discriminative Domain Adaptation from https://arxiv.org/abs/1702.05464

  Language:Python9232

• u6630774/TASS

  Language:Python2113