hnhbcc's repositories
AICITY2020_DMT_VehicleReID
The 3rd Place Submission to AICity Challenge 2020 Track2
Awesome-Ultrasound-Standard-Plane-Detection
A curated list of awesome ultrasound standard plane detection/localization/localisation/extraction/classification/selection/identification/recognition.
awesome-vehicle_reid-dataset
Collection of public available vehicle re-identification datasets
bpbreid
A strong baseline for body part-based person re-identification (check out our WACV23 paper)
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image
DIML
[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching
keypoint_promptable_reidentification
[ECCV24] Keypoint Promptable Re-Identification: SOTA ReID method robust to occlusions and multi-person ambiguity
MGN-pytorch
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Multi-Camera-Vehicle-Tracking-and-Reidentification
This repository contains our source code of Track 3 in the NVIDIA AI City Challenge Workshop at CVPR 2018. Please find the full source code of both Track 1 and Track 3 here ->
open-VehicleReID
strong Vehicle Re-ID baseline framework.
OpenGait
A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.
person-reid-triplet-loss-baseline
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
Person_reID_baseline_pytorch
Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
powerful-benchmarker
A PyTorch library for benchmarking deep metric learning. It's powerful.
pytorch-grad-cam
PyTorch implementation of Grad-CAM
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
stochman
Algorithms for computations on random manifolds made easier
Surveillance-Video-Understanding
Official project page of the paper "Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges" (Accepted by CVPR 2024)
vehicle-ReID-baseline
vehicle re-identification baseline for veri and vehicleID dataset
VeRidataset
This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance.
vision-lstm
xLSTM as Generic Vision Backbone