chenjoya

sampling-free

IEEE TIP: Is heuristic sampling necessary in training deep object detectors? Try sampling-free object detectors!

Vehicle_Detection_Recognition

This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html

2dtan

An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).

Caffe_MultiLabel_Classification

This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/HolidayXue/CodeSnap by HolidayXue.

dropit

DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR'23)

manogcn

Code for MANO-GCN —— "Capturing Implicit Spatial Cues for Monocular 3D Hand Reconstruction" (ICME2021 Oral)

ai-bibtex

AI publications, bibtex file. Hope it will help your writing!

vrd-case

hircnn

hand state rcnn. detect hand box, classify w/wo object interaction.

clean

overlap-sampler

Overlap Sampler for Region-Based Detectors, WACV 2020, based on maskrcnn-benchmark

vrsfacem

chenjoya.github.io

resobj

Pattern Recognition (Journal): Residual Objectness for Object Detection, implemented by detectron2

chatbot

chatgpt-on-wechat

Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

google-research

Google Research

GRiT

GRiT: A Generative Region-to-text Transformer for Object Understanding (https://arxiv.org/abs/2212.00280)

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377