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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2551–2600 of 10419 papers

TitleStatusHype
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study—0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars—0
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification—0
CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization—0
Applications of the Streaming Networks—0
CLIP-QDA: An Explainable Concept Bottleneck Model—0
Applications of Sequential Learning for Medical Image Classification—0
Dynamic Conditional Networks for Few-Shot Learning—0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm—0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning—0
Adversarial Examples on Segmentation Models Can be Easy to Transfer—0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Application of the Neural Network Dependability Kit in Real-World Environments—0
Adversarial Examples in Remote Sensing—0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Application of the Modified Fractal Signature Method for Terrain Classification from Synthetic Aperture Radar Images—0
CLIPAG: Towards Generator-Free Text-to-Image Generation—0
Application of Sensitivity Analysis Methods for Studying Neural Network Models—0
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification—0
A New Quantum CNN Model for Image Classification—0
ClickBAIT-v2: Training an Object Detector in Real-Time—0
A 3D 2D convolutional Neural Network Model for Hyperspectral Image Classification—0
Vera Verto: Multimodal Hijacking Attack—0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks—0
Enhancing Core Image Classification Using Generative Adversarial Networks (GANs)—0
Clean-image Backdoor Attacks—0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer—0
A Comprehensive Survey of Transformers for Computer Vision—0
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents—0
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?—0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks—0
Adversarial Examples for Semantic Image Segmentation—0
Class Subset Selection for Transfer Learning using Submodularity—0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset—0
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification—0
Class-Specific Channel Attention for Few-Shot Learning—0
Adaptive Gradient for Adversarial Perturbations Generation—0
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends—0
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion—0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
Appending Adversarial Frames for Universal Video Attack—0
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift—0
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking—0
Dual-stream Network for Visual Recognition—0
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference—0
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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