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
Eigenspectrum Analysis of Neural Networks without Aspect Ratio BiasCode1
OD3: Optimization-free Dataset Distillation for Object DetectionCode1
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic SegmentationCode1
Domain Adaptation for Multi-label Image Classification: a Discriminator-free ApproachCode1
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image ClassificationCode1
AGI-Elo: How Far Are We From Mastering A Task?Code1
Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image ClassificationCode1
ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale StagesCode1
Bayesian continual learning and forgetting in neural networksCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
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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