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gist-railab's Projects

centertrack icon centertrack

Simultaneous object detection and tracking using center points.

dcnv2 icon dcnv2

Deformable Convolutional Networks v2 (DCNv2) with Pytorch 1.8+ & JIT Compilation

deft icon deft

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

ffavod icon ffavod

Repository for the paper FFAVOD: Feature Fusion Architecture for Video Object Detection

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

spotnet icon spotnet

Repository for the paper SpotNet: Self-Attention Multi-Task Network for Object Detection

ustring icon ustring

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning (ACM MM 2020)

yolor icon yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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