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 1951–2000 of 10419 papers

TitleStatusHype
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone NetworksCode0
UV-SAM: Adapting Segment Anything Model for Urban Village IdentificationCode2
Learn What You Need in Personalized Federated LearningCode0
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness—0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?—0
Activations and Gradients Compression for Model-Parallel TrainingCode0
Knee or ROC—0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
A Strong Inductive Bias: Gzip for binary image classification—0
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability—0
Image edge enhancement for effective image classification—0
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification—0
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image ClassificationCode2
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision ApplicationsCode4
Interpreting and Improving Attention From the Perspective of Large Kernel Convolution—0
Scissorhands: Scrub Data Influence via Connection Sensitivity in NetworksCode0
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification—0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning—0
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
Do Vision and Language Encoders Represent the World Similarly?Code1
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer—0
Setting the Record Straight on Transformer Oversmoothing—0
Image classification network enhancement methods based on knowledge injection—0
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding—0
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset—0
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization—0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification—0
A Large-Scale Empirical Study on Improving the Fairness of Image Classification ModelsCode0
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
End-to-End Anti-Backdoor Learning on Images and Time Series—0
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine LearningCode0
CrisisViT: A Robust Vision Transformer for Crisis Image ClassificationCode0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
Object-oriented backdoor attack against image captioning—0
Benchmarking PathCLIP for Pathology Image Analysis—0
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes InteractivelyCode5
Improved Zero-Shot Classification by Adapting VLMs with Text DescriptionsCode1
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN TicketCode3
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification—0
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual ClassificationCode0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control—0
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity TrainingCode1
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification—0
Transductive Zero-Shot and Few-Shot CLIPCode1
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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