research
∙
09/07/2023
ImageBind-LLM: Multi-modality Instruction Tuning
We present ImageBind-LLM, a multi-modality instruction tuning method of ...
share
research
∙
09/01/2023
Point-Bind Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
We introduce Point-Bind, a 3D multi-modality model aligning point clouds...
research
∙
04/28/2023
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
How to efficiently transform large language models (LLMs) into instructi...
research
∙
03/28/2023
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
We present LLaMA-Adapter, a lightweight adaption method to efficiently f...
research
∙
01/31/2023
Few-Shot Object Detection via Variational Feature Aggregation
As few-shot object detectors are often trained with abundant base sample...
research
∙
03/28/2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Modern object detectors have achieved impressive progress under the clos...
research
∙
08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
research
∙
03/13/2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Recently, object detection in aerial images has gained much attention in...
research
∙
08/21/2020
