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 3901–3950 of 10420 papers

TitleStatusHype
Image Classification with Hierarchical Multigraph NetworksCode0
Facilitated machine learning for image-based fruit quality assessmentCode0
Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box SettingsCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Image Classification Using Singular Value Decomposition and OptimizationCode0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic LabelsCode0
Comb, Prune, Distill: Towards Unified Pruning for Vision Model CompressionCode0
Image Classification with Classic and Deep Learning TechniquesCode0
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
Improved Gradient based Adversarial Attacks for Quantized NetworksCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Smooth Deep SaliencyCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
AlgebraNetsCode0
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture SearchCode0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Distilling Effective Supervision from Severe Label NoiseCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
DartsReNet: Exploring new RNN cells in ReNet architecturesCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline ApproachCode0
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake DetectionCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
Network DeconvolutionCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasksCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
DAP: Detection-Aware Pre-training with Weak SupervisionCode0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Identifying Adversarially Attackable and Robust SamplesCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
Hysteresis Activation Function for Efficient InferenceCode0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
Augmenting Data with Mixup for Sentence Classification: An Empirical StudyCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
Compact Bilinear PoolingCode0
Hyperspectral image classification via a random patches networkCode0
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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