Abstract is missing.
- Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object DetectionFelippe Schmoeller Roza, Maximilian Henne, Karsten Roscher, Stephan Günnemann. 3-10 [doi]
- Implementing Planning KL-DivergenceJonah Philion, Amlan Kar, Sanja Fidler. 11-18 [doi]
- ODIN: An Object Detection and Instance Segmentation Diagnosis FrameworkRocio Nahime Torres, Piero Fraternali, Jesus Romero. 19-31 [doi]
- Shift Equivariance in Object DetectionMarco Manfredi, Yu Wang. 32-45 [doi]
- Probabilistic Object Detection with an Ensemble of ExpertsDimity Miller. 46-55 [doi]
- EPrOD: Evolved Probabilistic Object Detector with Diverse SamplesJaewoong Choi, Sungwook Lee, Seunghyun Lee, Byung Cheol Song. 56-66 [doi]
- Probabilistic Object Detection via Deep EnsemblesZongyao Lyu, Nolan Gutierrez, Aditya Rajguru, William J. Beksi. 67-75 [doi]
- A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral CuesAnirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar. 79-94 [doi]
- Remix: Rebalanced MixupHsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei 0025, Da-Cheng Juan. 95-110 [doi]
- Generalized Many-Way Few-Shot Video ClassificationYongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani. 111-127 [doi]
- GAN-Based Anomaly Detection In Imbalance ProblemsJunbong Kim, Kwanghee Jeong, Hyomin Choi, Kisung Seo. 128-145 [doi]
- Active Class Incremental Learning for Imbalanced DatasetsEden Belouadah, Adrian Popescu 0001, Umang Aggarwal, Léo Saci. 146-162 [doi]
- Knowledge Distillation for Multi-task LearningWei-Hong Li, Hakan Bilen. 163-176 [doi]
- Mitigating Dataset Imbalance via Joint Generation and ClassificationAadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das. 177-193 [doi]
- Patch-Based CNN Evaluation for Bark ClassificationDebaleena Misra, Carlos Fernando Crispim Junior, Laure Tougne. 197-212 [doi]
- Improving Pixel Embedding Learning Through Intermediate Distance Regression Supervision for Instance SegmentationYuli Wu, Long Chen 0014, Dorit Merhof. 213-227 [doi]
- Time Series Modeling for Phenotypic Prediction and Phenotype-Genotype Mapping Using Neural NetworksSruti Das Choudhury. 228-243 [doi]
- 3D Plant Phenotyping: All You Need is Labelled Point Cloud DataAyan Chaudhury, Frédéric Boudon, Christophe Godin. 244-260 [doi]
- Phenotyping Problems of Parts-per-Object CountFaina Khoroshevsky, Stanislav Khoroshevsky, Oshry Markovich, Orit Granitz, Aharon Bar-Hillel. 261-278 [doi]
- Abiotic Stress Prediction from RGB-T Images of Banana PlantletsSagi Levanon, Oshry Markovich, Itamar Gozlan, Ortal Bakhshian, Alon Zvirin, Yaron Honen, Ron Kimmel. 279-295 [doi]
- Sorghum Segmentation by Skeleton ExtractionMathieu Gaillard, Chenyong Miao, James Schnable, Bedrich Benes. 296-311 [doi]
- Towards Confirmable Automated Plant Cover DeterminationMatthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler. 312-329 [doi]
- Unsupervised Domain Adaptation for Plant Organ CountingTewodros W. Ayalew, Jordan F. Ubbens, Ian Stavness. 330-346 [doi]
- Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural NetworksJonas Bömer, Laura Zabawa, Philipp Sieren, Anna Kicherer, Lasse Klingbeil, Uwe Rascher, Onno Muller, Heiner Kuhlmann, Ribana Roscher. 347-359 [doi]
- Germination Detection of Seedlings in Soil: A System, Dataset and ChallengeHanno Scharr, Benjamin Bruns, Andreas Fischbach, Johanna Roussel, Lukas Scholtes, Jonas vom Stein. 360-374 [doi]
- Detection in Agricultural Contexts: Are We Close to Human Level?Omer Wosner, Guy Farjon, Faina Khoroshevsky, Lena Karol, Oshry Markovich, Daniel A. Koster, Aharon Bar-Hillel. 375-390 [doi]
- AutoCount: Unsupervised Segmentation and Counting of Organs in Field ImagesJordan R. Ubbens, Tewodros W. Ayalew, Steve Shirtliffe, Anique Josuttes, Curtis Pozniak, Ian Stavness. 391-399 [doi]
- CorNet: Unsupervised Deep Homography Estimation for Agricultural Aerial ImageryDewi Endah Kharismawati, Hadi Ali Akbarpour, Rumana Aktar, Filiz Bunyak, Kannappan Palaniappan, Toni Kazic. 400-417 [doi]
- Expanding CNN-Based Plant Phenotyping Systems to Larger EnvironmentsJonas Krause, Kyungim Baek, Lipyeow Lim. 418-432 [doi]
- Weakly Supervised Minirhizotron Image Segmentation with MIL-CAMGuohao Yu, Alina Zare, Weihuang Xu, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi, Thomas E. Juenger. 433-449 [doi]
- BTWD: Bag of Tricks for Wheat DetectionYifan Wu, Ya-Han Hu, Lei Li. 450-460 [doi]
- FairFace Challenge at ECCV 2020: Analyzing Bias in Face RecognitionTomás Sixta, Júlio C. S. Jacques Júnior, Pau Buch-Cardona, Eduard Vazquez, Sergio Escalera. 463-481 [doi]
- AsArcFace: Asymmetric Additive Angular Margin Loss for Fairface RecognitionShengyao Zhou, Junfan Luo, Junkun Zhou, Xiang Ji. 482-491 [doi]
- Fair Face Recognition Using Data Balancing, Enhancement and FusionJun Yu, Xinlong Hao, Haonian Xie, Ye Yu. 492-505 [doi]
- Investigating Bias and Fairness in Facial Expression RecognitionTian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes. 506-523 [doi]
- Disguised Face Verification Using Inverse Disguise QualityAmlaan Kar, Maneet Singh, Mayank Vatsa, Richa Singh 0001. 524-540 [doi]
- Toward Continuous-Time Representations of Human MotionWeiyu Du, Oleh Rybkin, Lingzhi Zhang, Jianbo Shi. 543-548 [doi]
- DisCont: Self-Supervised Visual Attribute Disentanglement Using Context VectorsSarthak Bhagat, Vishaal Udandarao, Shagun Uppal, Saket Anand. 549-553 [doi]
- 3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image SynthesisVadim Sushko, Edgar Schönfeld, Dan Zhang 0017, Jürgen Gall, Bernt Schiele, Anna Khoreva. 554-558 [doi]