wencheng's repositories
SiamBAN-ACM
Code for CVPR2021 Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
Comparison
Compare performances of algorithms on Objcet Tracking Benchmarks (SOT/MOT...)
acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
DIFFNet
[BMVC 2021] ''Self-Supervised Monocular Depth Estimation with Internal Feature Fusion''
FairMOT
A simple baseline for one-shot multi-object tracking
gdrive_wencheng
gdrive private version
HR-Depth
[AAAI 2021] HR-Depth : High Resolution Self-Supervised Depth Estimation
LODDataset
This is Low-light Object Detection (LOD) dataset of Crafting Object Detection in Very Low Light in BMVC(British Machine Vision Conference) 2021, by Yang Hong, Kaixuan Wei, Linwei Chen, and Ying Fu.
manydepth
[CVPR 2021] Self-supervised depth estimation from short sequences
mmdetection
OpenMMLab Detection Toolbox and Benchmark
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
MonoLSS
Official implementation of the 3DV 2024 paper MonoLSS: Learnable Sample Selection For Monocular 3D Detection
MonoViT_depthnet
Self-supervised monocular depth estimation with a vision transformer
multi-mono-sf
Self-Supervised Multi-Frame Monocular Scene Flow (CVPR 2021)
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
ReconfigISP
ReconfigISP: Reconfigurable Camera Image Processing Pipeline
self-mono-sf
Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".