Zhuang Liu

18

Papers

774

Total Citations

Papers (18)

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Transformers without Normalization

A Decade's Battle on Dataset Bias: Are We There Yet?

Scaling Language-Free Visual Representation Learning

Idiosyncrasies in Large Language Models

Few Sample Knowledge Distillation for Efficient Network Compression

A ConvNet for the 2020s

Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders

ImageBind: One Embedding Space To Bind Them All

DSOD: Learning Deeply Supervised Object Detectors From Scratch

Learning Efficient Convolutional Networks Through Network Slimming

Few-Shot Object Detection via Feature Reweighting

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

Densely Connected Convolutional Networks

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation