There are 2 repositories under tiny-object-detection topic.
Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification
This is the official release of LEVIR-Ship, which is a dataset for tiny ship detection under medium-resolution remote sensing images
The official implementation of DRENet (Degraded Reconstruction Enhancement Network) for tiny ship detection in remote sensing Images
Include mmdetection version of TinyBenchmark. Official link.
FSANet: Feature-and-Spatial-Aligned Network for Tiny Object Detection in Remote Sensing Images (TGRS 2022)
ICIP 2023: Pancreas Segmentation
LR-TSDet: Towards Tiny Ship Detection in Low-Resolution Remote Sensing Images (Remote Sens. 2021)
Counting rice grain and detecting the broken rice grains in the image. Solving the Touching grain problems using WaterShed algorithm.
Enhancing Tiny Object Detection Using Guided Object Inference Slicing (GOIS): An Efficient Dynamic Adaptive Framework for Fine-Tuned and Non-Fine-Tuned Deep Learning Models
This repository is used for detecting vehicles both during the day and at night
[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports
[TASE 2024] SFCNet: Automated Non-Invasive Analysis of Motile Sperms Using Sperm Feature-Correlated Network
[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports
Using Yolov6-nano to detect tennis ball and apply sort algorithm to track the ball in real-time