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 3701–3750 of 10419 papers

TitleStatusHype
Soft Augmentation for Image ClassificationCode1
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
On the Robustness of deep learning-based MRI Reconstruction to image transformations—0
Learning advisor networks for noisy image classificationCode0
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-raysCode0
Understanding the Role of Mixup in Knowledge Distillation: An Empirical StudyCode0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
FIXED: Frustratingly Easy Domain Generalization with Mixup—0
MogaNet: Multi-order Gated Aggregation NetworkCode2
Temporal superimposed crossover module for effective continuous sign language—0
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification—0
KGTN-ens: Few-Shot Image Classification with Knowledge Graph EnsemblesCode0
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification—0
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
Multi-Objective Evolutionary for Object Detection Mobile Architectures Search—0
WaveNets: Wavelet Channel Attention NetworksCode0
Deep neural network based on F-neurons and its learningCode0
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks—0
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion—0
Exploring Explainability Methods for Graph Neural Networks—0
Untargeted Backdoor Attack against Object DetectionCode1
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid—0
Chinese CLIP: Contrastive Vision-Language Pretraining in ChineseCode5
WITT: A Wireless Image Transmission Transformer for Semantic CommunicationsCode2
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency DomainCode1
Transfer Learning with Kernel Methods—0
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation—0
IM-Loss: Information Maximization Loss for Spiking Neural Networks—0
SAGE: Saliency-Guided Mixup with Optimal Rearrangements—0
Improving Fairness in Image Classification via SketchingCode0
Generative Negative Text Replay for Continual Vision-Language Pretraining—0
Studying inductive biases in image classification task—0
L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep LearningCode1
FatNet: High Resolution Kernels for Classification Using Fully Convolutional Optical Neural NetworksCode1
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEsCode0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Distributed Black-box Attack: Do Not Overestimate Black-box AttacksCode0
Improving Chest X-Ray Classification by RNN-based Patient Monitoring—0
Grafting Vision Transformers—0
Contextual Learning in Fourier Complex Field for VHR Remote Sensing ImagesCode0
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active LearningCode0
A Generic Shared Attention Mechanism for Various Backbone Neural Networks—0
Jointly Resampling and Reconstructing Corrupted Images for Image Classification using Frequency-Selective Mesh-to-Grid Resampling—0
Text2Model: Text-based Model Induction for Zero-shot Image Classification—0
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective—0
Neural Networks with Quantization ConstraintsCode0
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings—0
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification—0
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image ClassifiersCode0
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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