sampling-free. IEEE TIP: Is heuristic sampling necessary in training deep object detectors? Try sampling-free object detectors!
293Vehicle_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
2052dtan. An optimized re-implementation for 2D-TAN: Learning 2D Temporal Localization Networks for Moment Localization with Natural Language (AAAI'2020).
128Caffe_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.
71dropit. DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)
32manogcn. Code for MANO-GCN —— "Capturing Implicit Spatial Cues for Monocular 3D Hand Reconstruction" (ICME2021 Oral)
13ai-bibtex. AI publications, bibtex file. Hope it will help your writing!
11vrd-case. Python
5hircnn. hand state rcnn. detect hand box, classify w/wo object interaction.
4clean. Python
3overlap-sampler. Overlap Sampler for Region-Based Detectors, WACV 2020, based on maskrcnn-benchmark
3vrsfacem. C++
2resobj. Pattern Recognition (Journal): Residual Objectness for Object Detection, implemented by detectron2
2chenjoya.github.io. HTML
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