Popular GitHub Repositories for Visual Recognition

[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention

[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Custom Object Detection with TensorFlow

Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23

GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

work in progress

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

[ICLR 2023 Spotlight] GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

? Classify images offline using Watson Visual Recognition and Core ML.

[CVPR'25] Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition

Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024

Official PyTorch Implementation of Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision Tasks

Usage of smartphone to capture images is a very common occurrence today. However, people with vision problems might not be able to clearly see the pictures. I've developed a Cognitive app which uses Visual Recognition & Text-to-Speech Conversion Capability of IBM Watson which allows both normal person or a person with some eye condition(Blurry vision, Color Blindness, Hypermetropia, etc.) to Understand an object, sign or an unknown language through the speech guidance capability of the app. This app Describes an object recognized through the input image which is sent to the visual-recognition service and the description which is a collection of some keywords is sent back in text form, after it the text is then renderd into audio through text-to-speech service which is accessible & very beneficial to people who cant view the mobile screen