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 831840 of 10420 papers

TitleStatusHype
Efficiency 360: Efficient Vision TransformersCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
Improved Online Conformal Prediction via Strongly Adaptive Online LearningCode1
Learning with Noisy labels via Self-supervised Adversarial Noisy MaskingCode1
Learning from Noisy Labels with Decoupled Meta Label PurifierCode1
The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor LocalizationCode1
Reversible Vision TransformersCode1
Cross-Layer Retrospective Retrieving via Layer AttentionCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
Revisiting Discriminative vs. Generative Classifiers: Theory and ImplicationsCode1
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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