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 281290 of 10419 papers

TitleStatusHype
Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation0
Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal RepresentationsCode1
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry0
CoRLD: Contrastive Representation Learning Of Deformable Shapes In ImagesCode0
Leveraging Text-to-Image Generation for Handling Spurious Correlation0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation0
Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-TuningCode2
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image ClassificationCode0
ARC: Anchored Representation Clouds for High-Resolution INR ClassificationCode0
Test-Time Backdoor Detection for Object Detection Models0
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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