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 25312540 of 10420 papers

TitleStatusHype
Open-Set Plankton Recognition0
PARIC: Probabilistic Attention Regularization for Language Guided Image Classification from Pre-trained Vison Language Models0
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation0
Multiplicative Learning0
(, δ) Considered Harmful: Best Practices for Reporting Differential Privacy GuaranteesCode0
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification0
Learning Interpretable Logic Rules from Deep Vision Models0
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification0
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild0
Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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