youthhan Goto Github PK

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

caffe

Caffe: a fast open framework for deep learning.

celex-sdk

SDK version 2.2 for CeleX sensor.

clip4clip

cs231n.github.io

Public facing notes page

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dl.eyesight

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

dual-ai

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn_for_dota

Code used for training Faster R-CNN on DOTA

grit

GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)

html

huffman

hvrnet

Code for Mining Inter-Video Proposal Relations for Video Object Detection, ECCV 2020

image_pylib

image processing library for python

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

lambda-stack-dockerfiles

lmbspecialops

mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

metar-cnn

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

models

Models built with TensorFlow

opencv

Open Source Computer Vision Library

pcl.pytorch

PyTorch codes for our paper "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

pmv

Website for PMV dataset.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

r-dfpn_fpn_tensorflow

R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)

r2cnn_fpn_tensorflow

R2CNN: Rotational Region CNN Based on FPN (Tensorflow); Make modification for DOTA dataset use.

resnet-imagenet-caffe

train resnet on imagenet from scratch with caffe

ron

RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017