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 121130 of 10419 papers

TitleStatusHype
Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification0
Large Language Models Implicitly Learn to See and Hear Just By Reading0
KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches0
Domain Adaptation for Multi-label Image Classification: a Discriminator-free ApproachCode1
Intra-class Patch Swap for Self-DistillationCode0
Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image ClassificationCode1
Scaling Vision Mamba Across Resolutions via Fractal Traversal0
Enhancing Transformers Through Conditioned Embedded Tokens0
AGI-Elo: How Far Are We From Mastering A Task?Code1
Learning to Adapt to Position Bias in Vision Transformer ClassifiersCode0
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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