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 14811490 of 10420 papers

TitleStatusHype
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction UncertaintyCode1
Lightweight Learner for Shared Knowledge Lifelong LearningCode1
Extending CAM-based XAI methods for Remote Sensing Imagery SegmentationCode1
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional ModelsCode1
NoisyNN: Exploring the Impact of Information Entropy Change in Learning SystemsCode1
LiT: Zero-Shot Transfer with Locked-image text TuningCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
Deep Network Ensemble Learning applied to Image Classification using CNN TreesCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
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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