yuluobusifan

yuluobusifan's Stars

• changzy00/pytorch-attention

  🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

  Language:Python42943

• DavidZhangdw/Visual-Tracking-Development

  Visual Object Tracking

  Language:Python46258

• SparkTempest/BAT

  Bi-directional Adapter for Multi-modal Tracking

  Language:Python668

• singularity-s0/fudan_sports_autoreserve

  复旦大学体育场馆自动预约 FDU Sports Auto Reserve

  Language:Python7048

• zhuiyuan733/Fudan_Sportscourt_Order

  1

• HusterYoung/MPLT

  Language:Python233

• botaoye/OSTrack

  [ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

  Language:Python42854

• RyanHTR/TBSI

  Language:Python536

• yangmengmeng1997/APFNet

  3915

• jiawen-zhu/ViPT

  [CVPR23] Visual Prompt Multi-Modal Tracking

  Language:Python27618

• hazdzz/STGCN

  The PyTorch implementation of STGCN.

  Language:Python518111

• megvii-research/video_analyst

  A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

  Language:Python835174

• xingchenzhang/RGB-T-fusion-tracking-papers-and-results

  The papers and results about RGB-T fusion tracking

  30446

• HenJigg/my-todoapp

  该项目为2022年WPF项目实战合集源代码

  Language:C#490177

• manjunath5496/RGB-T-Fusion-Tracking-Papers

  "Real learning comes about when the competitive spirit has ceased."― Jiddu Krishnamurti

  101

• Alexadlu/MANet_pp

  RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss (IEEE T-IP2021)

  14

• Alexadlu/MANet

  Multi-Adapter RGBT Tracking implementation on Pytorch (ICCVW2019)

  Language:Python10216

• Alexadlu/DMCNet

  Duality-Gated Mutual Condition Network for RGBT Tracking (IEEE T-NNLS 2022)

  9

• mmic-lcl/Datasets-and-benchmark-code

  19928

• huanglianghua/siamfc-pytorch

  A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

  Language:Python650132

• bertinetto/cfnet

  [CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

  Language:Matlab523153

• bertinetto/siamese-fc

  Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

  Language:MATLAB628223

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478