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

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Showing 326–350 of 10419 papers

TitleStatusHype
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image ClassificationCode1
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network InferenceCode1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Anytime Continual Learning for Open Vocabulary ClassificationCode1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
A Conservative Approach for Unbiased Learning on Unknown BiasesCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Class-Balanced Active Learning for Image ClassificationCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified