SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 321330 of 10419 papers

TitleStatusHype
Tangentially Aligned Integrated Gradients for User-Friendly Explanations0
Measuring directional bias amplification in image captions using predictability0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification0
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization0
Task Vector Quantization for Memory-Efficient Model MergingCode0
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification0
Keeping Representation Similarity in Finetuning for Medical Image Analysis0
MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification0
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified