Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
Chintala's professional trajectory took off in 2014 when he joined Meta (then Facebook) as a software engineer at the ...
Abstract: Although great progress has been made in Camouflaged Object Detection (COD), it still faces challenges in complex real-world scenes. Existing methods are primarily designed for visible ...
About Fixstars Corporation Fixstars is a technology company dedicated to accelerating AI inference and training through ...
Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors.
├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...
This repo is an official implementation of "Memory Enhanced Global-Local Aggregation for Video Object Detection", accepted by CVPR 2020. This repository contains a PyTorch implementation of our ...
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