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 15811590 of 10420 papers

TitleStatusHype
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets0
A Perspective on Deep Vision Performance with Standard Image and Video Codecs0
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-TrainingCode2
Concept Induction using LLMs: a user experiment for assessment0
A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene0
GhostNetV3: Exploring the Training Strategies for Compact Models0
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured0
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image ClassificationCode1
Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification0
Vocabulary-free Image Classification and Semantic SegmentationCode0
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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