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 29412950 of 10420 papers

TitleStatusHype
Bytes Are All You Need: Transformers Operating Directly On File Bytes0
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals0
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections0
BUZz: BUffer Zones for defending adversarial examples in image classification0
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair0
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization0
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation0
Bundle Optimization for Multi-aspect Embedding0
Building Vision Transformers with Hierarchy Aware Feature Aggregation0
A New Ensemble Method for Concessively Targeted Multi-model Attack0
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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