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2dtan

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

ai-bibtex

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

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.

chatbot

chatgpt-on-wechat

chenjoya.github.io

clean

deformable-detr

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

dropit

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

google-research

Google Research

grit

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

hircnn

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

mae

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

manogcn

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

overlap-sampler

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

resobj

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

sampling-free

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

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

vrd-case

vrsfacem