Abstract is missing.
- Selective Multi-scale Learning for Object DetectionJunliang Chen, Weizeng Lu, LinLin Shen. 3-14 [doi]
- DRENet: Giving Full Scope to Detection and Regression-Based Estimation for Video Crowd CountingChangsheng Liu, Yuan Huang, Yadong Mu, Xiaoming Yu. 15-27 [doi]
- Sisfrutos Papaya: A Dataset for Detection and Classification of Diseases in PapayaJairo Lucas de Moraes, Jorcy de Oliveira Neto, Jacson Rodrigues Correia da Silva, Thiago M. Paixão, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza. 28-39 [doi]
- Faster-LTN: A Neuro-Symbolic, End-to-End Object Detection ArchitectureFrancesco Manigrasso, Filomeno Davide Miro, Lia Morra, Fabrizio Lamberti. 40-52 [doi]
- GC-MRNet: Gated Cascade Multi-stage Regression Network for Crowd CountingYing Shi, Jun Sang, Jinghan Tan, Zhongyuan Wu, Bin Cai, Nong Sang. 53-66 [doi]
- Latent Feature-Aware and Local Structure-Preserving Network for 3D Completion from a Single Depth ViewCaixia Liu, Dehui Kong, Shaofan Wang, Jinghua Li, Baocai Yin. 67-79 [doi]
- Facial Expression Recognition by Expression-Specific Representation SwappingJie Lei, Zhao Liu, Zeyu Zou, Tong Li, Juan Xu, Zunlei Feng, Ronghua Liang. 80-91 [doi]
- Iterative Error Removal for Time-of-Flight Depth ImagingZhuolin Zheng, Yinzhang Ding, Xiaotian Tang, Yu Cai, Dongxiao Li, Ming Zhang, Hongyang Xie, Xuanfu Li. 92-105 [doi]
- Blurred Image Recognition: A Joint Motion Deblurring and Classification Loss-Aware ApproachWenjie Zhang, Zhi Wang. 106-117 [doi]
- Learning How to Zoom In: Weakly Supervised ROI-Based-DAM for Fine-Grained Visual ClassificationWenjie Chen, Shuang Ran, Tian Wang, Lihong Cao. 118-130 [doi]
- (Input) Size Matters for CNN ClassifiersMats L. Richter, Wolf Byttner, Ulf Krumnack, Anna Wiedenroth, Ludwig Schallner, Justin Shenk. 133-144 [doi]
- Accelerating Depthwise Separable Convolutions with Vector ProcessorYuekai Zhao, Jianzhuang Lu, Xiaowen Chen. 145-156 [doi]
- KCNet: Kernel-Based Canonicalization Network for Entities in Recruitment DomainNidhi Goyal, Niharika Sachdeva, Anmol Goel, Jushaan Singh Kalra, Ponnurangam Kumaraguru. 157-169 [doi]
- Deep Unitary Convolutional Neural NetworksHao-Yuan Chang, Kang L. Wang. 170-181 [doi]
- DPWTE: A Deep Learning Approach to Survival Analysis Using a Parsimonious Mixture of Weibull DistributionsAchraf Bennis, Sandrine Mouysset, Mathieu Serrurier. 185-196 [doi]
- First-Order and Second-Order Variants of the Gradient Descent in a Unified FrameworkThomas Pierrot, Nicolas Perrin-Gilbert, Olivier Sigaud. 197-208 [doi]
- Bayesian Optimization for Backpropagation in Monte-Carlo Tree SearchNengli Lim, Yueqin Li. 209-221 [doi]
- Growing Neural Networks Achieve Flatter MinimaPaul Caillon, Christophe Cerisara. 222-234 [doi]
- Dynamic Neural Diversification: Path to Computationally Sustainable Neural NetworksAlexander Kovalenko, Pavel Kordík, Magda Friedjungová. 235-247 [doi]
- Curved SDE-Net Leads to Better Generalization for Uncertainty Estimates of DNNsYongguang Wang, Huobin Tan, Shuzhen Yao. 248-259 [doi]
- EIS - Efficient and Trainable Activation Functions for Better Accuracy and PerformanceKoushik Biswas, Sandeep Kumar 0002, Shilpak Banerjee, Ashish Kumar Pandey. 260-272 [doi]
- Why Mixup Improves the Model PerformanceMasanari Kimura. 275-286 [doi]
- Mixup Gamblers: Learning to Abstain with Auto-Calibrated Reward for Mixed SamplesTakumi Yamaguchi, Masahiro Murakawa. 287-294 [doi]
- Non-iterative Phase Retrieval with Cascaded Neural NetworksTobias Uelwer, Tobias Hoffmann, Stefan Harmeling. 295-306 [doi]
- Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light TrainingGuihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai. 307-318 [doi]
- MMF: A Loss Extension for Feature Learning in Open Set RecognitionJingyun Jia, Philip K. Chan. 319-331 [doi]
- On the Selection of Loss Functions Under Known Weak Label ModelsDaniel Bacaicoa-Barber, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Jesús Cid-Sueiro. 332-343 [doi]
- Bilevel Online Deep Learning in Non-stationary EnvironmentYa-nan Han, Jian-Wei Liu, Bing-biao Xiao, Xin-Tan Wang, Xionglin Luo. 347-358 [doi]
- A Blockchain Based Decentralized Gradient Aggregation Design for Federated LearningJian Zhao, Xin Wu, Yan Zhang, Yu Wu, Zhi Wang. 359-371 [doi]
- Continual Learning for Fake News Detection from Social MediaYi Han 0003, Shanika Karunasekera, Christopher Leckie. 372-384 [doi]
- Balanced Softmax Cross-Entropy for Incremental LearningQuentin Jodelet, Xin Liu 0020, Tsuyoshi Murata. 385-396 [doi]
- Generalised Controller Design Using Continual LearningDiana Benavides Prado, Chathura Wanigasekara, Akshya Swain. 397-408 [doi]
- DRILL: Dynamic Representations for Imbalanced Lifelong LearningKyra Ahrens, Fares Abawi, Stefan Wermter. 409-420 [doi]
- Principal Gradient Direction and Confidence Reservoir Sampling for Continual LearningZhiyi Chen, Tong Lin. 421-432 [doi]
- Spontaneous Symmetry Breaking in Data VisualizationCilie W. Feldager, Søren Hauberg, Lars Kai Hansen. 435-446 [doi]
- Deep NLP Explainer: Using Prediction Slope to Explain NLP ModelsReza Marzban, Christopher Crick. 447-458 [doi]
- Empirically Explaining SGD from a Line Search PerspectiveMaximus Mutschler, Andreas Zell. 459-471 [doi]
- Towards Ontologically Explainable ClassifiersGrégory Bourguin, Arnaud Lewandowski, Mourad Bouneffa, Adeel Ahmad. 472-484 [doi]
- Leveraging the Feature Distribution in Transfer-Based Few-Shot LearningYuqing Hu, Vincent Gripon, Stéphane Pateux. 487-499 [doi]
- One-Shot Meta-learning for Radar-Based Gesture Sequences RecognitionGianfranco Mauro, Mateusz Chmurski, Muhammad Arsalan, Mariusz Zubert, Vadim Issakov. 500-511 [doi]
- Few-Shot Learning with Random Erasing and Task-Relevant Feature TransformingXin Wang, Shouhong Wan, Peiquan Jin. 512-524 [doi]
- Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot ChallengeSarah Fabi, Sebastian Otte, Martin V. Butz. 525-536 [doi]
- Better Few-Shot Text Classification with Pre-trained Language ModelZheng Chen, Yunchen Zhang. 537-548 [doi]
- Leveraging GANs via Non-local FeaturesXuyang Peng, Weifeng Liu 0001, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou. 551-562 [doi]
- On Mode Collapse in Generative Adversarial NetworksKaifeng Zhang. 563-574 [doi]
- Image Inpainting Using Wasserstein Generative Adversarial Imputation NetworkDaniel Vasata, Tomás Halama, Magda Friedjungová. 575-586 [doi]
- COViT-GAN: Vision Transformer forCOVID-19 Detection in CT Scan Imageswith Self-Attention GAN forDataAugmentationAra Abigail E. Ambita, Eujene Nikka V. Boquio, Prospero C. Naval. 587-598 [doi]
- PhonicsGAN: Synthesizing Graphical Videos from Phonics SongsNuha Aldausari, Arcot Sowmya, Nadine Marcus, Gelareh Mohammadi. 599-610 [doi]
- A Progressive Image Inpainting Algorithm with a Mask Auto-update BranchLiang Nie, Wenxin Yu, Xuewen Zhang, Siyuan Li, Ning Jiang, Zhiqiang Zhang. 611-622 [doi]
- Hybrid Generative Models for Two-Dimensional DatasetsHoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan 0001. 623-636 [doi]
- Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and DistillingLuqi Gong, Chao Li 0028, Hailong Hong, Hui Zhu 0002, Tangwen Qian, Yongjun Xu. 637-647 [doi]