Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
[ICLR 2023] "More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity"; [ICML 2023] "Are Large Kernels Better Teachers than Transformers for ConvNets?"
a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
VGG Image Annotator - 1.0.5 Version
Kata (片) - Japanese text segmentation android app
Pipeline for the production of digital scholarly editions of archival collections
data, metadata, tools, and LDA experiments on a corpus of Sanskrit philosophy texts
Assignment codes for CS736 Algorithms for Medical Image Processing.
2D/ 3D object detection, segmentation, depth estimation for self-driving car
Deform adaptive UNet for medical image segmentaion
This dashboard presents a comprehensive behavioral analysis of DEX Traders and Liquidity Providers in the Avalanche ecosystem. Using Flipside’s Intelligence Driven Growth (IDG) methodology, it explores user journeys, engagement, platform usage, and liquidity contributions across major Avalanche DEXs from May 2024 to April 2025.
visualisation of the product of segment-anything
data visualization, customer segmentation, CLV and next purchase prediction
🔥 🔥 🔥 Simple, open, pure HTML image annotation tool for bounding boxes and points (detection / segmentation). Try it now! 🔥 🔥 🔥
This is a computer vision project for solving the problem of lane detection in autonomous driving vehicles. The project uses simple thresholding based techniques in L*a*b color space. Programming has been done in C++ using OpenCV library.
Semi-supervised Teeth Segmentation Challenge
Cardiac Fats Segmentation Using a Conditional Generative Adversarial Network
Use pre-trained PSPNet Segmentation Model to generate a mask image consisting of sky pixels marked in white color in the image and other pixels marked in black color
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