Speech-driven visual grounding in remote sensing (RSVG) removes the typing bottleneck of text-based interaction and is intended to preserve prosodic intent, enabling hands-free target acquisition in time-critical missions. The direct-audio paradigm, mapping raw speech straight to a bounding box and bypassing automatic speech recognition (ASR), was recently adopted by RSTalker, but what such grounders actually learn about language remains unmeasured. SemEcho grafts a frozen Whisper speech pathway onto a VLTVG grounding host so that speech and text share one decoder, making the paired text, free by construction since speech corpora in this task are synthesized from DIOR-RSVG expressions, a training-time teacher and a fair, same-host text upper bound. On this instrument we dissect three semantic injection channels (feature-mimicry distillation, word-level CTC supervision, and two-stage ASR pretraining) with linear semantic probes, and release Audio-DIOR-R (80,973 training clips; 10 timbres x K=3; Qwen3-TTS synthesis with online sox noise lambda in [0, 0.4]) and Audio-DIOR-Comp, a re-split holding out 17 attribute-category combinations under a 2x2 acoustic-semantic protocol. Our anatomy yields four findings. (i) Whether direct alignment beats a domain-trained ASR cascade is decided by recognizer quality: against a weak in-domain cascade (CTC 0.53) direct wins by 9.0 Acc@0.5 points with transcription errors concentrated on spatial-relation words, but a strong in-domain cascade (CTC 0.029) reaches the text upper bound (80.8 vs. 81.0) and beats even the strongest direct model by 8.8 points; the anti-ASR premise holds only against weak recognizers.
DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models
Hinton STAI Institute（Hinton STAI研究所）；Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University（地理信息科学重点实验室（教育部））；School of Geospatial Artificial Intelligence, East China Normal University（地理空间人工智能学院）；Zhejiang University（浙江大学）；Shanghai Jiao Tong University（上海交通大学）；Information Engineering University（信息工程大学）
UniRef-UAV: A Multimodal Benchmark for Universal Referring in UAV Imagery
School of Automation, Northwestern Polytechnical University（自动化学院，西北工业大学）；College of Missile Engineering, Rocket Force University of Engineering（导弹工程学院，火箭兵工程大学）；School of Artificial Intelligence, Chongqing University of Posts and Telecommunications（人工智能学院，重庆邮电大学）
GeoViS: Geospatially Rewarded Visual Search for Remote Sensing Visual Grounding
Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院航空信息研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Tsinghua University（清华大学）；National University of Defense Technology（国防科技大学）；Shanghai Jiao Tong University（上海交通大学）；Chongqing University（重庆大学）
RSGround-R1: Rethinking Remote Sensing Visual Grounding through Spatial Reasoning
School of Electrical and Electronic Engineering, Nanyang Technological University（电气电子工程学院，南洋理工大学）；MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, Shanghai University of Finance and Economics（教育部计算与经济交叉学科重点实验室，上海财经大学）
GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT
Zhejiang Key Laboratory of Space Information Sensing and Transmission（浙江空间信息感知与传输重点实验室）；Hangzhou Dianzi University（杭州电子科技大学）；Zhejiang University（浙江大学）；Tsinghua University（清华大学）；Children's Hospital, Zhejiang University School of Medicine（浙江大学医学院附属儿童医院）
GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing
Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；Australian National University（澳大利亚国立大学）；The University of Western Australia（西澳大利亚大学）
Asking like Socrates: Socrates helps VLMs understand remote sensing images
School of Geosciences and Info-Physics, Central South University（中南大学地球科学与信息物理学院）；Baidu Inc.（百度公司）；School of Earth Sciences, Zhejiang University（浙江大学地球科学学院）
Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose?
School of Artificial Intelligence and Robotics, Hunan University（湖南大学人工智能与机器人学院）；Intelligent Game and Decision Lab (IGDL)（智能游戏与决策实验室）；Yuelushan Center for Industrial Innovation（岳麓山工业创新中心）
MADTempo: An Interactive System for Multi-Event Temporal Video Retrieval with Query Augmentation
Hanoi University of Science and Technology（河内科技大学）；The University of Danang - University of Science and Technology（丹江-科技大学）；Vietnam National University（越南国家大学）
