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 871880 of 10420 papers

TitleStatusHype
FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss FunctionCode1
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer NormalizationCode1
AdaptiveMix: Improving GAN Training via Feature Space ShrinkageCode1
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced DataCode1
Efficient On-device Training via Gradient FilteringCode1
Adaptive and Background-Aware Vision Transformer for Real-Time UAV TrackingCode1
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image ClassificationCode1
Vision HGNN: An Image is More than a Graph of NodesCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud ClassificationCode1
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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