IEEE

RAF-RCNN: Adaptive Feature Transfer from Clear to Rainy Conditions for Improved Object Detection

Abstract: In the challenging realm of object detection under rainy conditions, visual distortions significantly hinder accuracy. This paper introduces Rain-Adapt Faster RCNN (RAF-RCNN), an innovative ...
IEEE

SV-RCNN: Robust Structural-Encoded Voxel Features for 3D Object Detection on Sparse Point Clouds

Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...
GitHub

Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector

This repository contains the official PyTorch implementation of the paper "Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector", accepted at the Forty-first International ...
GitHub

AML: Adversarial Meta-Learning for Few-Shot Object Detection

This package includes our codes for implementing "Adversarial Meta-Learning for Few-Shot Object Detection". (First Release Date: 2025-04-13) Please refer to mmfewshot ...