Official repo for FEAR: Fast, Efficient, Accurate and Robust Visual Tracker (ECCV 2022)
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Updated
Jun 4, 2024 - Python
Official repo for FEAR: Fast, Efficient, Accurate and Robust Visual Tracker (ECCV 2022)
Evaluating Data Attribution for Text-to-Image Models: a visual data attribution benchmark for evaluating and learning training image influences.
[ICIP 2023] ArtiFact: A Large-Scale Dataset with Artificial (Fake) and Factual (Real) Images for Generalizable and Robust Synthetic Image Detection
TensorFlow GPU & TPU compatible operations: MelSpectrogram, TimeFreqMask, CutMix, MixUp, ZScore, and more
Fast and memory efficient transformers based feature matching model.
Android application that recognizes and analyzes skin lesions. End-to-end project, that contains many submodules and various of solutions in computer vision domain.
Implementation Bilinear CNN in tensorflow V2.4.
📸🎥📟👩🏫🤙An innovative approach for calculators in proctored online exams where camera is a must. It understands our hand gestures which lets us create mathematical expressions just by waving our hands in the air and to help the childern to understand the basic math expressions by simply using our interesting calculator
This repository dedicated my journey towards the computer vision
Detecting Traffic Law Violation Using Pre-Trained YOLOv8 Model and OpenCV: a Case of Red-Light Running
Here I Update All My Computer Vision Works From Start To Never Ending..🙂
Template matching is a technique in digital image processing for finding small parts of an image which match a template image.
Base Computer Vision Paper Review and PyTorch Code
Pytorch Basic Tutorials for beginners
This repository aims to introduce a new proposed backbone to which we call CSPMirrorNet, CSPMirrorNet aims to add a Horizontal expansion of feature map dimensions to increase gradient representation, employing a siamese network-like structure, and implementing a concept of early feature map cross sectionality, all the while paying homage to CSPNet.
A python script that can stitch two images into a panorama through feature detection and matching.
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