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 23712380 of 10420 papers

TitleStatusHype
Heterogeneous Federated Learning Using Knowledge Codistillation0
SemiReward: A General Reward Model for Semi-supervised LearningCode1
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
An evaluation of pre-trained models for feature extraction in image classification0
RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image ClassificationCode0
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense PredictionCode2
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network0
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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