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 20812090 of 10420 papers

TitleStatusHype
MaxQ: Multi-Axis Query for N:M Sparsity NetworkCode1
RAFIC: Retrieval-Augmented Few-shot Image ClassificationCode0
Exploiting Label Skews in Federated Learning with Model ConcatenationCode1
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building DetectionCode1
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification0
Initialization Matters for Adversarial Transfer LearningCode0
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image ClassificationCode1
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification0
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering ApproachCode0
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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