E-grāmata: Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part III

Deep Multi-order Context-aware Kernel Network for Multi-label
Classification.- Classifier Enhanced Deep Learning Model for Erythroblast
Differentiation with Limited Data.- PiExtract: An End-to-End Data Extraction
pipeline for Pie-Charts.- Machine Learning Solutions for Predicting
Bankruptcy  in Indian Firms.- Efficient Object Detection via Fine-grained
Regularization with Global Initialization.- On Trace of PGD-Like Adversarial
Attacks.- CAB-KWS: Contrastive Augmentation: An Unsupervised Learning
Approach for Keyword Spotting in Speech Technology.- Deep Learning in
Automated Worm Identification and Tracking for C. Elegan Mating Behaviour
Analysis.- Interactive-Time Text-Guided Editing of 3D Face.- Unlearning
Vision Transformers without Retaining Data via Low-Rank Decompositions.-
gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using
Custom Kernel Integrated Deep Learning Method.- Neural-Code PIFu:
High-Fidelity Single Image 3D Human Reconstruction via Neural Code
Integration.- Sea-ShipNet: Detect Any Ship in SAR Images.- Semantic
Correlation Adaptation for Union-Set Multi-Label Image Recognition.- FedSC:
Federated Generalized Face Anti-Spoofing via Shuffled Codebook.- LoHoSC: Low
Order High Order Style Consistency for Syn-to-Real Domain Generalized
Semantic Segmentation.- Incorporating Spatial Locality into Self-Attention
for Training Vision Transformer on Small-Scale Datasets.- Cross-Domain
Calibration and Boundary Denoising Network for Weakly Supervised Semantic
Segmentation.- EFLLD-NET: Enhancing Few-Shot Learning With Local
Descriptors.- Using Multiscale Information for Improved Optimization-based
Image Attribution.- Split-DNN Computing for Video Analytics.- Task-Aware
Local Descriptors Reconstruction Network for Few-Shot Find-Grained Image
Classification.- TRIGS: Trojan Identification from Gradient-based
Signatures.- Multifaceted Anchor Nodes Attack on Graph Neural Networks: A
Budget-efficient Approach.- Causal Attentive Group Recommendation.- E2DAS: An
Efficient Equivariant Dynamic Aggregation Saliency Model for Omnidirectional
Images.- FewConv: Efficient variant convolution for few-shot image
generation.- FixPix: Fixing Bad Pixels using Deep Learning.- Real-world
Coarse to Fine-Grained Source-Free Multidomain Adaptation.